UBC-CIC/AI-Learning-Assistant
Nov 2024 – Apr 2025
6 Months active
Languages Used
PythonTypeScriptGraphQLJavaScriptMarkdownShellYAMLgraphql
Technical Skills
AWS CDKAWS LambdaAWS Secrets ManagerAWS Systems ManagerCloud ComputingCloud Infrastructure
Aman
PROFILE
Aman
Over six months, Aparna Prakash engineered robust backend and frontend features for the UBC-CIC/AI-Learning-Assistant repository, focusing on real-time chatlog processing, modular embeddings, and secure cloud infrastructure. She designed and implemented serverless pipelines using AWS Lambda, SQS, and AppSync, enabling reliable ingestion, notification, and retrieval of classroom data. Leveraging Python, TypeScript, and React, Aparna built scalable APIs, integrated WebSocket-based notifications, and delivered granular data storage with per-module embeddings. Her work addressed data integrity, deployment resilience, and user experience, demonstrating depth in cloud-native development, database management, and DevOps practices while consistently improving reliability and maintainability across the codebase.
Overall Statistics
Feature vs Bugs
56%Features
Repository Contributions
75Total
Bugs
12
Commits
75
Features
15
Lines of code
6,753
Activity Months6
Your Network
11 peopleSame Organization
@student.ubc.ca4
Work History
April 2025
10 Commits • 3 Features
Apr 1, 2025April 2025 monthly summary for UBC-CIC/AI-Learning-Assistant focusing on delivering modular embeddings, end-of-conversation recommendations, and strengthening docs and ingestion reliability. Highlights include features delivered, critical bug fixes, and impact on business value.
10 Commits • 3 Features
Apr 1, 2025April 2025 monthly summary for UBC-CIC/AI-Learning-Assistant focusing on delivering modular embeddings, end-of-conversation recommendations, and strengthening docs and ingestion reliability. Highlights include features delivered, critical bug fixes, and impact on business value.
April 2025
March 2025
6 Commits • 2 Features
Mar 1, 2025March 2025 monthly performance summary for UBC-CIC/AI-Learning-Assistant. Focused on strengthening data reliability, streamlining instructor workflows, and stabilizing the instructor homepage. Delivered three core areas: 1) Reliable course data retrieval and correct course identification; 2) Cleaner instructor URL routing with state-based navigation; 3) Loading indicator and data integrity on the instructor homepage. These changes improve data accuracy, reduce routing complexity, and prevent rendering errors, delivering tangible business value through more accurate course displays, faster navigation, and a more robust instructor experience. Key technologies demonstrated: robust front-end data parsing, per-course data isolation via localStorage, state-based routing, and proactive loading states.
March 2025
6 Commits • 2 Features
Mar 1, 2025March 2025 monthly performance summary for UBC-CIC/AI-Learning-Assistant. Focused on strengthening data reliability, streamlining instructor workflows, and stabilizing the instructor homepage. Delivered three core areas: 1) Reliable course data retrieval and correct course identification; 2) Cleaner instructor URL routing with state-based navigation; 3) Loading indicator and data integrity on the instructor homepage. These changes improve data accuracy, reduce routing complexity, and prevent rendering errors, delivering tangible business value through more accurate course displays, faster navigation, and a more robust instructor experience. Key technologies demonstrated: robust front-end data parsing, per-course data isolation via localStorage, state-based routing, and proactive loading states.
February 2025
13 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for UBC-CIC/AI-Learning-Assistant. Focused on delivering two major features: Real-Time Chat Logs access and viewing via a WebSocket-based system and a centralized per-course notification system with global WebSocket subscriptions. Implemented UI/UX improvements, reduced API polling, and improved resilience with auto-reconnect. Fixed critical bugs around notification scoping, duplicate events, and chatlog status synchronization. Resulting in faster access to chat data, more reliable notifications, and improved instructor productivity.
13 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for UBC-CIC/AI-Learning-Assistant. Focused on delivering two major features: Real-Time Chat Logs access and viewing via a WebSocket-based system and a centralized per-course notification system with global WebSocket subscriptions. Implemented UI/UX improvements, reduced API polling, and improved resilience with auto-reconnect. Fixed critical bugs around notification scoping, duplicate events, and chatlog status synchronization. Resulting in faster access to chat data, more reliable notifications, and improved instructor productivity.
February 2025
January 2025
14 Commits • 4 Features
Jan 1, 2025January 2025 – UBC-CIC/AI-Learning-Assistant: Delivered end-to-end chatlog processing, real-time instructor notifications via AppSync, and a download API/UI, while tightening backend stability and security. These changes improve data reliability, reduce processing latency, enable real-time alerts for instructors, and streamline access to classroom chatlogs for educators and admins.
January 2025
14 Commits • 4 Features
Jan 1, 2025January 2025 – UBC-CIC/AI-Learning-Assistant: Delivered end-to-end chatlog processing, real-time instructor notifications via AppSync, and a download API/UI, while tightening backend stability and security. These changes improve data reliability, reduce processing latency, enable real-time alerts for instructors, and streamline access to classroom chatlogs for educators and admins.
December 2024
25 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for UBC-CIC/AI-Learning-Assistant focused on delivering a robust, end-to-end chatlogs ingestion and notification pipeline, securing deployment reliability, and aligning API schemas to support business needs. The work emphasized business value through reliable data ingestion, scalable serverless architecture, and resilient AppSync integration.
25 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for UBC-CIC/AI-Learning-Assistant focused on delivering a robust, end-to-end chatlogs ingestion and notification pipeline, securing deployment reliability, and aligning API schemas to support business needs. The work emphasized business value through reliable data ingestion, scalable serverless architecture, and resilient AppSync integration.
December 2024
November 2024
7 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for UBC-CIC/AI-Learning-Assistant: key reliability, security, and hybrid-cloud enhancements. Delivered data ingestion correctness, centralized configuration management via SSM Parameter Store, API Gateway timeout resilience, and hybrid VPC infrastructure enabling phased cloud deployment. These changes improve data integrity, security posture, scalability, and operational resilience, supporting safer migrations and longer-running data ingestions.
November 2024
7 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for UBC-CIC/AI-Learning-Assistant: key reliability, security, and hybrid-cloud enhancements. Delivered data ingestion correctness, centralized configuration management via SSM Parameter Store, API Gateway timeout resilience, and hybrid VPC infrastructure enabling phased cloud deployment. These changes improve data integrity, security posture, scalability, and operational resilience, supporting safer migrations and longer-running data ingestions.
Activity
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Quality Metrics
Correctness85.6%
Maintainability85.2%
Architecture81.8%
Performance78.2%
AI Usage21.6%
Skills & Technologies
Programming Languages
BashGraphQLHTMLJSXJavaScriptMarkdownPythonReactSQLShell
Technical Skills
API DesignAPI DevelopmentAPI GatewayAPI IntegrationAWS AmplifyAWS AppSyncAWS BedrockAWS CDKAWS LambdaAWS RDSAWS S3AWS SQSAWS SageMakerAWS Secrets ManagerAWS Systems Manager
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