PrairieLearn/PrairieLearn
Oct 2024 – Feb 2026
17 Months active
Languages Used
HTMLJavaScriptMakefileSCSSSQLTypeScriptMarkdownText
Technical Skills
Backend DevelopmentBootstrapBuild ToolsCSSComponent RefactoringDatabase Management
Nathan Sarang-Walters
PROFILE
Nathan Sarang-walters
Nathan contributed deeply to the PrairieLearn/PrairieLearn repository, building and refining core features for AI-assisted grading, real-time assessment, and instructor workflows. He engineered robust backend and frontend systems using TypeScript, React, and Python, modernizing UI components and integrating advanced LLMs like GPT-5 via the ai SDK. Nathan improved data integrity and platform reliability through schema migrations, API refactoring, and enhanced validation, while also streamlining CI/CD pipelines and automating testing with Vitest and Playwright. His work addressed both user experience and technical debt, delivering scalable, maintainable solutions that accelerated grading, improved accessibility, and enabled faster, safer feature delivery for instructors.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
573Total
Bugs
149
Commits
573
Features
303
Lines of code
130,123
Activity Months17
Your Network
27 peopleSame Organization
@prairielearn.com2
Shared Repositories
25
Deniz GunayMember
Arman MoztarzadehMember
Anthony TongMember
austinbillings-plMember
Colin B. MacdonaldMember
Dev SinghMember
Dipkiran PradhanMember
Eric HuberMember
Dirk EddelbuettelMember
Work History
February 2026
23 Commits • 12 Features
Feb 1, 2026February 2026: Focused on strengthening AI-assisted workflows, improving instructor UX, and enhancing observability. Delivered a major AI SDK transition for agentic question generation, a redesigned question creation flow with a template gallery (including fixed and randomized templates) and a dedicated creation page, and a fully integrated roster sync modal with end-to-end flow and auditing. Also improved operational visibility by logging sync errors to job output, hardened HTML validation and content preservation for AI grading, and updated core tooling to stay current with Yarn and Playwright dependencies. These efforts collectively reduce time-to-publish, improve course management, and increase reliability for instructors and students.
23 Commits • 12 Features
Feb 1, 2026February 2026: Focused on strengthening AI-assisted workflows, improving instructor UX, and enhancing observability. Delivered a major AI SDK transition for agentic question generation, a redesigned question creation flow with a template gallery (including fixed and randomized templates) and a dedicated creation page, and a fully integrated roster sync modal with end-to-end flow and auditing. Also improved operational visibility by logging sync errors to job output, hardened HTML validation and content preservation for AI grading, and updated core tooling to stay current with Yarn and Playwright dependencies. These efforts collectively reduce time-to-publish, improve course management, and increase reliability for instructors and students.
February 2026
January 2026
66 Commits • 41 Features
Jan 1, 2026January 2026 — PrairieLearn/PrairieLearn delivered business-value enhancements across CI/CD, runtime/tooling, frontend UX, and enrollment lifecycle. Key outcomes include hardened CI with Makefile targets, UV lockfile checks, and Dependabot updates; runtime upgrades to Python 3.13 and IPython 9.8.0; frontend modernization from Preact to React and a rewritten user settings page; enrollment lifecycle improvements with a new 'left' status and migrations from 'removed' to 'left'; and enhanced QA/observability with CSRF tests, React hydration fixes, flaky-test mitigation, and opt-in Sentry reporting for server jobs. These changes improve deployability, performance, UX, and data-quality for retention analytics.
January 2026
66 Commits • 41 Features
Jan 1, 2026January 2026 — PrairieLearn/PrairieLearn delivered business-value enhancements across CI/CD, runtime/tooling, frontend UX, and enrollment lifecycle. Key outcomes include hardened CI with Makefile targets, UV lockfile checks, and Dependabot updates; runtime upgrades to Python 3.13 and IPython 9.8.0; frontend modernization from Preact to React and a rewritten user settings page; enrollment lifecycle improvements with a new 'left' status and migrations from 'removed' to 'left'; and enhanced QA/observability with CSRF tests, React hydration fixes, flaky-test mitigation, and opt-in Sentry reporting for server jobs. These changes improve deployability, performance, UX, and data-quality for retention analytics.
December 2025
27 Commits • 13 Features
Dec 1, 2025Dec 2025: PrairieLearn/PrairieLearn monthly summary focused on UI refinements, client-side safety, and release reliability to improve user experience, stability, and velocity. Key features delivered include UI polish and publishing flow improvements (PageLayout padding toggle; Student Invitation Modal; Course Publishing UI), client-side safety enhancements (lint rule for unsafe types; use of currentTarget on Preact event handlers), security utility (generateCsrfToken), and modernization with TypeScript/ES2022 standardization. Additional gains include testing variant seeds support, CI/CD improvements (OIDC publishing, npm upgrades, and token permission fixes), and broader stabilization (code health and UX fixes). Major bug fixes targeted stability and runtime safety, including race-condition stabilization in job sequencing, handling broken course instance syncs on the question settings page, and safeguarding Python test() invocation. Commit highlights accompany each item below for traceability.
27 Commits • 13 Features
Dec 1, 2025Dec 2025: PrairieLearn/PrairieLearn monthly summary focused on UI refinements, client-side safety, and release reliability to improve user experience, stability, and velocity. Key features delivered include UI polish and publishing flow improvements (PageLayout padding toggle; Student Invitation Modal; Course Publishing UI), client-side safety enhancements (lint rule for unsafe types; use of currentTarget on Preact event handlers), security utility (generateCsrfToken), and modernization with TypeScript/ES2022 standardization. Additional gains include testing variant seeds support, CI/CD improvements (OIDC publishing, npm upgrades, and token permission fixes), and broader stabilization (code health and UX fixes). Major bug fixes targeted stability and runtime safety, including race-condition stabilization in job sequencing, handling broken course instance syncs on the question settings page, and safeguarding Python test() invocation. Commit highlights accompany each item below for traceability.
December 2025
November 2025
27 Commits • 16 Features
Nov 1, 2025November 2025 PrairieLearn monthly summary focusing on business value and technical achievements across PrairieLearn/PrairieLearn. Key features delivered include editor UX improvements, admin UI refinements, data collection controls, and frontend performance enhancements that directly improve instructor productivity, data integrity, and system reliability. Notable work includes a TSX-based instructor file editor, admin UID regexp display improvements, forced sampling of client requests, topics editor refactor with broader use of full objects in grading, and extensive frontend UI/UX enhancements with code-quality improvements. Critical fixes address enrollment restrictions, asset handling, and memory usage, while tooling and security checks were strengthened.
November 2025
27 Commits • 16 Features
Nov 1, 2025November 2025 PrairieLearn monthly summary focusing on business value and technical achievements across PrairieLearn/PrairieLearn. Key features delivered include editor UX improvements, admin UI refinements, data collection controls, and frontend performance enhancements that directly improve instructor productivity, data integrity, and system reliability. Notable work includes a TSX-based instructor file editor, admin UID regexp display improvements, forced sampling of client requests, topics editor refactor with broader use of full objects in grading, and extensive frontend UI/UX enhancements with code-quality improvements. Critical fixes address enrollment restrictions, asset handling, and memory usage, while tooling and security checks were strengthened.
October 2025
22 Commits • 16 Features
Oct 1, 2025Month: 2025-10 | PrairieLearn/PrairieLearn – Monthly Summary Key features delivered: - Upgraded AI grading to GPT-5 and standardized LLM interactions using the ai SDK, enabling more accurate and consistent automated assessment across courses. - Adopted crypto.randomUUID() for UUID generation to improve ID uniqueness and security across the platform. - Refined the course topics editor UI/UX to enhance authoring efficiency and consistency. - Modernized admin UI components by migrating administrator institutions page and SSO settings page to Preact for faster rendering and a more cohesive UX. - Documentation and minor feature improvements (e.g., assessment type docs, question author syncing, and template question title capitalization) to align with evolving product guidelines. Major bugs fixed: - Removed hard-coded external references to ca.prairielearn.com to eliminate stale links and improve environment parity. - Ignored Copilot in CLA checks to reduce false positives and improve code quality gates. - Fixed UI regression in pl-multiple-choice dropdown positioning and updated related UI behaviors. - Refactored to avoid synchronous existsSync usage to prevent blocking I/O in startup paths. - Completely dropped the self_enrollment_enabled_before_date_enabled column to simplify schema and reduce technical debt. Overall impact and accomplishments: - Accelerated grading reliability and speed through advanced GPT-5 AI and standardized LLM workflows, contributing to faster turnaround for learners and instructors. - Reduced maintenance burden and potential data inconsistencies via schema cleanup and improved logging/monitoring around syncing. - Improved developer experience and product consistency with modernized admin UI and stricter APIs, enabling safer future changes and faster iteration. - Strengthened platform reliability and compliance with OpenAI interaction standards and network operation resilience. Technologies/skills demonstrated: - GPT-5, ai SDK, and LLM orchestration for AI grading; security-conscious UUID generation with crypto.randomUUID(); Preact-based UI modernization; isomorphic base64 considerations; strict JSON schemas for OpenAI interactions; enhanced Git network operation timeouts; robust logging around syncing.
22 Commits • 16 Features
Oct 1, 2025Month: 2025-10 | PrairieLearn/PrairieLearn – Monthly Summary Key features delivered: - Upgraded AI grading to GPT-5 and standardized LLM interactions using the ai SDK, enabling more accurate and consistent automated assessment across courses. - Adopted crypto.randomUUID() for UUID generation to improve ID uniqueness and security across the platform. - Refined the course topics editor UI/UX to enhance authoring efficiency and consistency. - Modernized admin UI components by migrating administrator institutions page and SSO settings page to Preact for faster rendering and a more cohesive UX. - Documentation and minor feature improvements (e.g., assessment type docs, question author syncing, and template question title capitalization) to align with evolving product guidelines. Major bugs fixed: - Removed hard-coded external references to ca.prairielearn.com to eliminate stale links and improve environment parity. - Ignored Copilot in CLA checks to reduce false positives and improve code quality gates. - Fixed UI regression in pl-multiple-choice dropdown positioning and updated related UI behaviors. - Refactored to avoid synchronous existsSync usage to prevent blocking I/O in startup paths. - Completely dropped the self_enrollment_enabled_before_date_enabled column to simplify schema and reduce technical debt. Overall impact and accomplishments: - Accelerated grading reliability and speed through advanced GPT-5 AI and standardized LLM workflows, contributing to faster turnaround for learners and instructors. - Reduced maintenance burden and potential data inconsistencies via schema cleanup and improved logging/monitoring around syncing. - Improved developer experience and product consistency with modernized admin UI and stricter APIs, enabling safer future changes and faster iteration. - Strengthened platform reliability and compliance with OpenAI interaction standards and network operation resilience. Technologies/skills demonstrated: - GPT-5, ai SDK, and LLM orchestration for AI grading; security-conscious UUID generation with crypto.randomUUID(); Preact-based UI modernization; isomorphic base64 considerations; strict JSON schemas for OpenAI interactions; enhanced Git network operation timeouts; robust logging around syncing.
October 2025
September 2025
53 Commits • 27 Features
Sep 1, 2025September 2025 — PrairieLearn/PrairieLearn. Focused on strengthening real-time grading workflows, instructor controls, and platform reliability. Key features delivered include LTI Settings Page Refactor, real-time grading configuration with backfills and documentation, and improvements to developer ergonomics and templates. Major bugs fixed targeted accuracy, auth reliability, and UI stability, reducing production friction for instructors and students. Overall impact: faster, more reliable grading and assessment flows, improved data integrity for instructor workflows, and better maintainability for the codebase. Technologies and skills demonstrated include TypeScript, React/Preact, Zod schema validation, Map-based data handling for performance, option-object patterns for APIs, and documentation/test-helper improvements.
September 2025
53 Commits • 27 Features
Sep 1, 2025September 2025 — PrairieLearn/PrairieLearn. Focused on strengthening real-time grading workflows, instructor controls, and platform reliability. Key features delivered include LTI Settings Page Refactor, real-time grading configuration with backfills and documentation, and improvements to developer ergonomics and templates. Major bugs fixed targeted accuracy, auth reliability, and UI stability, reducing production friction for instructors and students. Overall impact: faster, more reliable grading and assessment flows, improved data integrity for instructor workflows, and better maintainability for the codebase. Technologies and skills demonstrated include TypeScript, React/Preact, Zod schema validation, Map-based data handling for performance, option-object patterns for APIs, and documentation/test-helper improvements.
August 2025
38 Commits • 24 Features
Aug 1, 2025August 2025 for PrairieLearn/PrairieLearn focused on delivering business value through interoperability enhancements, security hardening, reliability improvements, and tech-stack modernization. Key features delivered include LTI 1.3 support for platforms without UINs, distinct handling of LTI 1.3 instances, and cryptographic hardening for LTI 1.1. CI/CD was modernized with GitHub Actions Core API, TypeScript was upgraded to 5.9, and tRPC adopted the official LocalLink API. Several UI refinements improved usability, including highlighting the Students page during detail views and broader UI table responsiveness. Major bug fixes targeted data integrity, validation, and messaging consistency, contributing to a more reliable platform. Overall impact: broader platform compatibility, stronger security posture, more stable deployments and tests, and a smoother user experience. Technologies/skills demonstrated include TypeScript 5.9, tRPC LocalLink, GitHub Actions Core API, cryptographic security practices, enhanced I/O handling, and comprehensive test coverage.
38 Commits • 24 Features
Aug 1, 2025August 2025 for PrairieLearn/PrairieLearn focused on delivering business value through interoperability enhancements, security hardening, reliability improvements, and tech-stack modernization. Key features delivered include LTI 1.3 support for platforms without UINs, distinct handling of LTI 1.3 instances, and cryptographic hardening for LTI 1.1. CI/CD was modernized with GitHub Actions Core API, TypeScript was upgraded to 5.9, and tRPC adopted the official LocalLink API. Several UI refinements improved usability, including highlighting the Students page during detail views and broader UI table responsiveness. Major bug fixes targeted data integrity, validation, and messaging consistency, contributing to a more reliable platform. Overall impact: broader platform compatibility, stronger security posture, more stable deployments and tests, and a smoother user experience. Technologies/skills demonstrated include TypeScript 5.9, tRPC LocalLink, GitHub Actions Core API, cryptographic security practices, enhanced I/O handling, and comprehensive test coverage.
August 2025
July 2025
32 Commits • 10 Features
Jul 1, 2025July 2025 highlights for PrairieLearn/PrairieLearn. Delivered targeted modernization, security hardening, and reliability improvements across dependencies, CLI/UI, LTI access, API/docs, database/schema, frontend UX, and CI/CD tooling. These efforts reduce risk, improve user experience, and enable faster, safer feature delivery.
July 2025
32 Commits • 10 Features
Jul 1, 2025July 2025 highlights for PrairieLearn/PrairieLearn. Delivered targeted modernization, security hardening, and reliability improvements across dependencies, CLI/UI, LTI access, API/docs, database/schema, frontend UX, and CI/CD tooling. These efforts reduce risk, improve user experience, and enable faster, safer feature delivery.
June 2025
37 Commits • 16 Features
Jun 1, 2025June 2025: PrairieLearn delivered targeted feature improvements, critical stability fixes, and modernization across the stack, strengthening grader workflows, API reliability, and AI-readiness, while upgrading tooling and runtimes to support scale. Business value is reflected in streamlined grading flows, more reliable runtimes, and faster iteration cycles for AI-enabled features.
37 Commits • 16 Features
Jun 1, 2025June 2025: PrairieLearn delivered targeted feature improvements, critical stability fixes, and modernization across the stack, strengthening grader workflows, API reliability, and AI-readiness, while upgrading tooling and runtimes to support scale. Business value is reflected in streamlined grading flows, more reliable runtimes, and faster iteration cycles for AI-enabled features.
June 2025
May 2025
37 Commits • 21 Features
May 1, 2025May 2025 monthly summary for PrairieLearn/PrairieLearn: Delivered a focused set of code-quality, tooling, and AI-question-generation improvements that strengthen developer productivity, CI reliability, and product quality. Key features include an ESLint upgrade and config refinements, Python tooling improvements (mamba shell init and Python grader tracebacks), dependency cleanup (PyArrow 20.0.0 and removal of Express from compiled-assets), and CI/CD/workspace robustness improvements. Implemented AI QA groundwork with Mustache template extraction refactor and enhanced AI question validation loading system data, plus accessibility enhancements and improved allow-blank validation. Added auditing capability with a new modified_at column on variants and submissions. Fortified testing practices by migrating to Vitest, stabilizing tests with deterministic ordering, and reducing test flakiness through test configuration improvements. These changes collectively reduce maintenance costs, accelerate feature delivery, and improve end-user reliability.
May 2025
37 Commits • 21 Features
May 1, 2025May 2025 monthly summary for PrairieLearn/PrairieLearn: Delivered a focused set of code-quality, tooling, and AI-question-generation improvements that strengthen developer productivity, CI reliability, and product quality. Key features include an ESLint upgrade and config refinements, Python tooling improvements (mamba shell init and Python grader tracebacks), dependency cleanup (PyArrow 20.0.0 and removal of Express from compiled-assets), and CI/CD/workspace robustness improvements. Implemented AI QA groundwork with Mustache template extraction refactor and enhanced AI question validation loading system data, plus accessibility enhancements and improved allow-blank validation. Added auditing capability with a new modified_at column on variants and submissions. Fortified testing practices by migrating to Vitest, stabilizing tests with deterministic ordering, and reducing test flakiness through test configuration improvements. These changes collectively reduce maintenance costs, accelerate feature delivery, and improve end-user reliability.
April 2025
60 Commits • 37 Features
Apr 1, 2025April 2025 monthly summary focused on delivering high-impact instructor workflow improvements, stabilizing the build/deploy pipeline, modernizing tooling, and expanding testing and data capabilities. The month emphasized business value by streamlining instructor previews, enabling cross-platform Docker deployment, and boosting developer productivity with modernized tooling and solid testing.
60 Commits • 37 Features
Apr 1, 2025April 2025 monthly summary focused on delivering high-impact instructor workflow improvements, stabilizing the build/deploy pipeline, modernizing tooling, and expanding testing and data capabilities. The month emphasized business value by streamlining instructor previews, enabling cross-platform Docker deployment, and boosting developer productivity with modernized tooling and solid testing.
April 2025
March 2025
44 Commits • 23 Features
Mar 1, 2025March 2025 (PrairieLearn/PrairieLearn) delivered a focused set of reliability, performance, and developer-experience improvements across the codebase. Key features and infrastructure work include dependency upgrades across Python, JavaScript, Sentry, and OpenTelemetry to latest compatible versions, a new node-metrics package for centralized observability, and Canvas question converter enhancements with improved type checking, linting, and asset handling. Additional improvements comprised Dependabot configuration updates, code-quality tooling, accessibility and UX refinements, and workflow optimizations that reduce risk and maintenance overhead.
March 2025
44 Commits • 23 Features
Mar 1, 2025March 2025 (PrairieLearn/PrairieLearn) delivered a focused set of reliability, performance, and developer-experience improvements across the codebase. Key features and infrastructure work include dependency upgrades across Python, JavaScript, Sentry, and OpenTelemetry to latest compatible versions, a new node-metrics package for centralized observability, and Canvas question converter enhancements with improved type checking, linting, and asset handling. Additional improvements comprised Dependabot configuration updates, code-quality tooling, accessibility and UX refinements, and workflow optimizations that reduce risk and maintenance overhead.
February 2025
34 Commits • 11 Features
Feb 1, 2025February 2025 focused on stability, data integrity, and UX/AI enhancements across PrairieLearn. Completed a broad set of dependency upgrades for stability and compatibility; reinforced data integrity with NOT NULL migrations and backfills; delivered UI improvements and routing enhancements; and advanced AI-assisted grading capabilities, alongside security and observability hardening. These efforts reduced technical debt, improved course operation reliability, and set up faster, safer feature delivery.
34 Commits • 11 Features
Feb 1, 2025February 2025 focused on stability, data integrity, and UX/AI enhancements across PrairieLearn. Completed a broad set of dependency upgrades for stability and compatibility; reinforced data integrity with NOT NULL migrations and backfills; delivered UI improvements and routing enhancements; and advanced AI-assisted grading capabilities, alongside security and observability hardening. These efforts reduced technical debt, improved course operation reliability, and set up faster, safer feature delivery.
February 2025
January 2025
37 Commits • 18 Features
Jan 1, 2025January 2025 was focused on strengthening core platform reliability, security, and developer productivity while expanding AI-driven capabilities. Key outcomes include: PostgreSQL upgrade to 16 across the base image and backend alignment; removal of the ps_linked column from the course_instances schema and Zod model to clean the data layer; broad tooling and CI modernization to improve code quality and feedback speed; UI and documentation enhancements to improve usability and clarity; and substantial AI Question Generation improvements including UI/UX overhaul, benchmarking, and core processing/data validation improvements. In addition, security and stability fixes were delivered, including removing API token via query parameter and RNG seeding fixes for reproducibility, along with regression fixes in Python grader plots. These changes deliver stronger performance, improved security posture, easier maintenance, and faster iteration for course authors and students.
January 2025
37 Commits • 18 Features
Jan 1, 2025January 2025 was focused on strengthening core platform reliability, security, and developer productivity while expanding AI-driven capabilities. Key outcomes include: PostgreSQL upgrade to 16 across the base image and backend alignment; removal of the ps_linked column from the course_instances schema and Zod model to clean the data layer; broad tooling and CI modernization to improve code quality and feedback speed; UI and documentation enhancements to improve usability and clarity; and substantial AI Question Generation improvements including UI/UX overhaul, benchmarking, and core processing/data validation improvements. In addition, security and stability fixes were delivered, including removing API token via query parameter and RNG seeding fixes for reproducibility, along with regression fixes in Python grader plots. These changes deliver stronger performance, improved security posture, easier maintenance, and faster iteration for course authors and students.
December 2024
18 Commits • 9 Features
Dec 1, 2024December 2024 (PrairieLearn/PrairieLearn) delivered major performance, reliability, and developer-experience improvements with a strong focus on freeform question processing, bulk download scalability, and modernized rendering pipelines. Key work targeted business value: faster feedback cycles, scalable assessment workflows, and reduced operational risk through CI/security hardening and environment consistency.
18 Commits • 9 Features
Dec 1, 2024December 2024 (PrairieLearn/PrairieLearn) delivered major performance, reliability, and developer-experience improvements with a strong focus on freeform question processing, bulk download scalability, and modernized rendering pipelines. Key work targeted business value: faster feedback cycles, scalable assessment workflows, and reduced operational risk through CI/security hardening and environment consistency.
December 2024
November 2024
15 Commits • 6 Features
Nov 1, 2024November 2024 monthly summary for PrairieLearn/PrairieLearn. The month delivered a comprehensive Question API/UI overhaul, migration of rendering to TypeScript, and improved dynamic content handling, along with targeted backend and platform improvements that enhance stability, performance, and deployment simplicity. Business value was realized through streamlined authoring workflows, safer and faster migrations, clearer LMS integration status, and stronger security and maintainability. Notable outcomes include a new tRPC-based API for questions, performance-optimized migrations, platform/runtime compatibility enhancements, and proactive—but reassessed—session data hygiene.
November 2024
15 Commits • 6 Features
Nov 1, 2024November 2024 monthly summary for PrairieLearn/PrairieLearn. The month delivered a comprehensive Question API/UI overhaul, migration of rendering to TypeScript, and improved dynamic content handling, along with targeted backend and platform improvements that enhance stability, performance, and deployment simplicity. Business value was realized through streamlined authoring workflows, safer and faster migrations, clearer LMS integration status, and stronger security and maintainability. Notable outcomes include a new tRPC-based API for questions, performance-optimized migrations, platform/runtime compatibility enhancements, and proactive—but reassessed—session data hygiene.
October 2024
3 Commits • 3 Features
Oct 1, 2024October 2024 monthly summary for PrairieLearn/PrairieLearn focusing on front-end UX improvements, sharing workflow clarity, and accessibility/maintainability enhancements. Delivered UI refinements, refined sharing semantics, and updated build process to enforce SCSS linting and consistent color usage, aligning with business value and technical excellence.
3 Commits • 3 Features
Oct 1, 2024October 2024 monthly summary for PrairieLearn/PrairieLearn focusing on front-end UX improvements, sharing workflow clarity, and accessibility/maintainability enhancements. Delivered UI refinements, refined sharing semantics, and updated build process to enforce SCSS linting and consistent color usage, aligning with business value and technical excellence.
October 2024
Activity
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Quality Metrics
Correctness92.0%
Maintainability90.4%
Architecture87.4%
Performance86.4%
AI Usage26.8%
Skills & Technologies
Programming Languages
BashCJSCSSDockerfileHTMLJSONJavaScriptMakefileMarkdownMustache
Technical Skills
AI DevelopmentAI GradingAI IntegrationAI integrationAI testingAPI DesignAPI DevelopmentAPI GatewayAPI IntegrationAPI SecurityAPI developmentAPI integrationAWS CloudWatchAWS SDKAccess Control
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline