aws-samples/aws-kr-startup-samples
Nov 2024 – Feb 2026
14 Months active
Languages Used
DockerfilePythonShellJavaScriptMarkdownTypeScriptCloudFormationJSON
Technical Skills
AWS CDKAmazon BedrockAmazon ECSApplication Load BalancerDockerPython
tjdwlsdlaek
PROFILE
Tjdwlsdlaek
Over 14 months, Jaeseong Ahn delivered end-to-end AI and cloud solutions in the aws-samples/aws-kr-startup-samples repository, building features such as persona chatbots, video generation pipelines, and voice cloning deployments. He architected scalable, serverless workflows using AWS CDK, Lambda, DynamoDB, and Fargate, integrating advanced models via Bedrock and SageMaker. His work included full-stack development with Python, TypeScript, and React, implementing analytics dashboards, secure API gateways, and multilingual onboarding. By emphasizing infrastructure as code, robust documentation, and automated monitoring, Jaeseong ensured maintainable, production-ready systems that accelerated experimentation, improved operational visibility, and enabled rapid adoption of AI-driven capabilities for startups.
Overall Statistics
Feature vs Bugs
88%Features
Repository Contributions
66Total
Bugs
4
Commits
66
Features
28
Lines of code
39,391
Activity Months14
Your Network
1052 peopleShared Repositories
16
Jungseob ShinMember
jinulandMember
prorhapMember
ottlseoMember
Kihoon KwonMember
JinHyeok LeeMember
Kihoon KwonMember
JiyoungGHMember
nasaoreoMember
Work History
February 2026
4 Commits • 3 Features
Feb 1, 2026February 2026: Delivered major TTS enhancements and a hardened deployment for the aws-kr-startup-samples project. Implemented three new TTS models in the Gradio server, enabled secure hosting behind ALB/CloudFront with HTTPS, and completed project consolidation by removing deprecated components and relocating the AWS sample to the machine-learning root. These efforts expanded end-user capabilities, improved security posture, and reduced maintenance overhead, demonstrating strong full-stack execution and secure-by-default deployment practices.
4 Commits • 3 Features
Feb 1, 2026February 2026: Delivered major TTS enhancements and a hardened deployment for the aws-kr-startup-samples project. Implemented three new TTS models in the Gradio server, enabled secure hosting behind ALB/CloudFront with HTTPS, and completed project consolidation by removing deprecated components and relocating the AWS sample to the machine-learning root. These efforts expanded end-user capabilities, improved security posture, and reduced maintenance overhead, demonstrating strong full-stack execution and secure-by-default deployment practices.
February 2026
January 2026
9 Commits • 2 Features
Jan 1, 2026January 2026 monthly summary focusing on delivering an end-to-end AWS deployment and UI for Qwen3-TTS voice cloning, with infra-as-code via CDK, a Gradio-based testing interface, and docs/environments improvements. Key deliverables include CDK-based deployment on EC2 (VPC, security groups, IAM, EC2, user data/scripts, and a systemd service) with a Gradio UI for testing multiple Qwen TTS models, alongside infra organization updates and enhanced documentation for deployment and local development.
January 2026
9 Commits • 2 Features
Jan 1, 2026January 2026 monthly summary focusing on delivering an end-to-end AWS deployment and UI for Qwen3-TTS voice cloning, with infra-as-code via CDK, a Gradio-based testing interface, and docs/environments improvements. Key deliverables include CDK-based deployment on EC2 (VPC, security groups, IAM, EC2, user data/scripts, and a systemd service) with a Gradio UI for testing multiple Qwen TTS models, alongside infra organization updates and enhanced documentation for deployment and local development.
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for aws-samples/aws-kr-startup-samples. Delivered an end-to-end Usage Analytics Dashboard and a DynamoDB-based Daily Tracking system to monitor user activity, improve data quality, and enable data-driven decision making. The work includes a proxy UI dashboard integration to provide stakeholders with quick, actionable insights, backed by the commit: 2bead25570a442ad7c808eb1df68a215f8031190. This release enhances observability, accelerates insights, and lays the groundwork for scalable usage analytics across the product.
1 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for aws-samples/aws-kr-startup-samples. Delivered an end-to-end Usage Analytics Dashboard and a DynamoDB-based Daily Tracking system to monitor user activity, improve data quality, and enable data-driven decision making. The work includes a proxy UI dashboard integration to provide stakeholders with quick, actionable insights, backed by the commit: 2bead25570a442ad7c808eb1df68a215f8031190. This release enhances observability, accelerates insights, and lays the groundwork for scalable usage analytics across the product.
December 2025
November 2025
2 Commits • 1 Features
Nov 1, 2025November 2025: Delivered end-to-end token usage tracking and analytics for Claude Code Proxy in aws-samples/aws-kr-startup-samples. Implemented DynamoDB-backed storage for token usage, user-specific and admin usage APIs, extended thinking mode (ContentBlockThinking), and a testing harness for rate-limit scenarios. Included a usage logging guide, automatic TTL cleanup (90 days), and daily/total statistics to support governance and cost control.
November 2025
2 Commits • 1 Features
Nov 1, 2025November 2025: Delivered end-to-end token usage tracking and analytics for Claude Code Proxy in aws-samples/aws-kr-startup-samples. Implemented DynamoDB-backed storage for token usage, user-specific and admin usage APIs, extended thinking mode (ContentBlockThinking), and a testing harness for rate-limit scenarios. Included a usage logging guide, automatic TTL cleanup (90 days), and daily/total statistics to support governance and cost control.
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 highlights for aws-samples/aws-kr-startup-samples: Delivered a Serverless Strands Agent with EventBridge scheduling and Fargate execution, storing results in S3, with AWS CDK-based infrastructure as code. This enables periodic, scalable background processing with repeatable deployments and auditable infrastructure.
1 Commits • 1 Features
Sep 1, 2025September 2025 highlights for aws-samples/aws-kr-startup-samples: Delivered a Serverless Strands Agent with EventBridge scheduling and Fargate execution, storing results in S3, with AWS CDK-based infrastructure as code. This enables periodic, scalable background processing with repeatable deployments and auditable infrastructure.
September 2025
August 2025
3 Commits • 1 Features
Aug 1, 2025In August 2025, delivered the AWS Security Analysis System for the aws-kr-startup-samples repo, initializing an analysis workflow with Strands Agent SDK and AWS Bedrock, deployed via AWS CDK and Lambda. Follow-on work included documentation cleanup and deployment refinements to streamline setup and enhance analysis capabilities. This foundation enables scalable, automated security insights for startup workflows.
August 2025
3 Commits • 1 Features
Aug 1, 2025In August 2025, delivered the AWS Security Analysis System for the aws-kr-startup-samples repo, initializing an analysis workflow with Strands Agent SDK and AWS Bedrock, deployed via AWS CDK and Lambda. Follow-on work included documentation cleanup and deployment refinements to streamline setup and enhance analysis capabilities. This foundation enables scalable, automated security insights for startup workflows.
July 2025
5 Commits • 2 Features
Jul 1, 2025July 2025 monthly performance summary focusing on delivering business value through two major features, infrastructure improvements, and code cleanup. The work spanned customer-facing prototyping enhancements and a production deployment pipeline, with a focus on reliability, observability, and maintainability.
5 Commits • 2 Features
Jul 1, 2025July 2025 monthly performance summary focusing on delivering business value through two major features, infrastructure improvements, and code cleanup. The work spanned customer-facing prototyping enhancements and a production deployment pipeline, with a focus on reliability, observability, and maintainability.
July 2025
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for aws-samples/aws-kr-startup-samples focusing on delivering a data-first UI for vector similarity workflows. Implemented a Streamlit-based Milvus Vector DB UI that enables users to initialize Milvus collections, add documents with categories, perform similarity searches, and view results with a detailed operation history. The work establishes an end-to-end pipeline for vector embeddings and search, accelerating experimentation and time-to-value for AI-powered features in startup scenarios. Key achievements: - Milvus Vector DB UI (Streamlit) delivered, enabling initialization, document addition with categories, similarity search, and operation-history display (commit 2d2bfd8467be7f959df1ef491990b0120b4e45fe). - End-to-end vector search workflow demonstrated within a user-friendly interface, reducing setup and prototyping time. - Demonstrated practicality of Streamlit for rapid UI development around vector databases and embeddings. - Strengthened repository value for startup-oriented AI tooling by enabling quick evaluation of Milvus-backed search capabilities.
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for aws-samples/aws-kr-startup-samples focusing on delivering a data-first UI for vector similarity workflows. Implemented a Streamlit-based Milvus Vector DB UI that enables users to initialize Milvus collections, add documents with categories, perform similarity searches, and view results with a detailed operation history. The work establishes an end-to-end pipeline for vector embeddings and search, accelerating experimentation and time-to-value for AI-powered features in startup scenarios. Key achievements: - Milvus Vector DB UI (Streamlit) delivered, enabling initialization, document addition with categories, similarity search, and operation-history display (commit 2d2bfd8467be7f959df1ef491990b0120b4e45fe). - End-to-end vector search workflow demonstrated within a user-friendly interface, reducing setup and prototyping time. - Demonstrated practicality of Streamlit for rapid UI development around vector databases and embeddings. - Strengthened repository value for startup-oriented AI tooling by enabling quick evaluation of Milvus-backed search capabilities.
May 2025
3 Commits • 1 Features
May 1, 2025May 2025 performance summary: Focused on accessibility improvements and repository hygiene for the aws-samples/aws-kr-startup-samples project. Delivered Korean translations for MCP ecosystem READMEs across the MCP tutorial project and MCP Server CDK project, and cleaned up build artifacts in the MCP tutorial AI module with updated .gitignore to prevent uv.lock and related clutter. These changes reduce onboarding friction for Korean-speaking users, improve CI reliability, and streamline maintenance across MCP components.
3 Commits • 1 Features
May 1, 2025May 2025 performance summary: Focused on accessibility improvements and repository hygiene for the aws-samples/aws-kr-startup-samples project. Delivered Korean translations for MCP ecosystem READMEs across the MCP tutorial project and MCP Server CDK project, and cleaned up build artifacts in the MCP tutorial AI module with updated .gitignore to prevent uv.lock and related clutter. These changes reduce onboarding friction for Korean-speaking users, improve CI reliability, and streamline maintenance across MCP components.
May 2025
April 2025
18 Commits • 4 Features
Apr 1, 2025Monthly Summary — 2025-04 | aws-samples/aws-kr-startup-samples Key features delivered: - Chat API: CORS Preflight: Implemented preflight handling with explicit allowed origins, methods, and headers to enable cross-domain frontend interactions, improving reliability for chat across domains. - Video Scheduling: Added scheduling via AWS EventBridge Scheduler with backend Lambda and frontend coordination to automatically generate videos on a schedule, enabling scalable content production. - Weather MCP Tutorial: Created a local MCP server setup and Claude Desktop integration to fetch weather information, with server code and configuration guidance to accelerate onboarding and development. - Nova Canvas MCP Server: Image generation with AWS Bedrock: Tutorial describing text-to-image generation via Bedrock through MCP on Nova Canvas, including setup instructions and examples. - Video workflow fixes: Corrected video status permissions, DynamoDB table naming, and query logic; aligned get-video and status update flows with consistent created_at usage, improving security and reliability. Major bugs fixed: - FFmpeg layer removal: Removed the FFmpeg Lambda Layer deployment and related custom resources to streamline backend deployment and reduce maintenance. - Documentation improvements: Consolidated updates across readmes and tutorials for MCP and video-related docs, reducing onboarding friction and clarifying usage. Overall impact and accomplishments: - Accelerated feature delivery with secure cross-origin chat, automated video production workflows, and accessible onboarding materials. - Strengthened security and data integrity in video workflow, and reduced maintenance burden through dependency removal. - Demonstrated practical expertise with serverless architectures, AWS services (Lambda, EventBridge, IAM, DynamoDB), and Bedrock/MCP integrations, directly contributing to business readiness for scalable media workflows. Technologies/skills demonstrated: - AWS Lambda, AWS EventBridge Scheduler, IAM permissions, DynamoDB, Bedrock, MCP, CORS configuration, serverless patterns, and documentation tooling.
April 2025
18 Commits • 4 Features
Apr 1, 2025Monthly Summary — 2025-04 | aws-samples/aws-kr-startup-samples Key features delivered: - Chat API: CORS Preflight: Implemented preflight handling with explicit allowed origins, methods, and headers to enable cross-domain frontend interactions, improving reliability for chat across domains. - Video Scheduling: Added scheduling via AWS EventBridge Scheduler with backend Lambda and frontend coordination to automatically generate videos on a schedule, enabling scalable content production. - Weather MCP Tutorial: Created a local MCP server setup and Claude Desktop integration to fetch weather information, with server code and configuration guidance to accelerate onboarding and development. - Nova Canvas MCP Server: Image generation with AWS Bedrock: Tutorial describing text-to-image generation via Bedrock through MCP on Nova Canvas, including setup instructions and examples. - Video workflow fixes: Corrected video status permissions, DynamoDB table naming, and query logic; aligned get-video and status update flows with consistent created_at usage, improving security and reliability. Major bugs fixed: - FFmpeg layer removal: Removed the FFmpeg Lambda Layer deployment and related custom resources to streamline backend deployment and reduce maintenance. - Documentation improvements: Consolidated updates across readmes and tutorials for MCP and video-related docs, reducing onboarding friction and clarifying usage. Overall impact and accomplishments: - Accelerated feature delivery with secure cross-origin chat, automated video production workflows, and accessible onboarding materials. - Strengthened security and data integrity in video workflow, and reduced maintenance burden through dependency removal. - Demonstrated practical expertise with serverless architectures, AWS services (Lambda, EventBridge, IAM, DynamoDB), and Bedrock/MCP integrations, directly contributing to business readiness for scalable media workflows. Technologies/skills demonstrated: - AWS Lambda, AWS EventBridge Scheduler, IAM permissions, DynamoDB, Bedrock, MCP, CORS configuration, serverless patterns, and documentation tooling.
March 2025
10 Commits • 3 Features
Mar 1, 2025March 2025 monthly summary for the aws-kr-startup-samples repository. Delivered two major features along with deployment and documentation improvements, enhancing both product capability and deployment readiness. Key technical work included backend integration with Bedrock translation APIs, a Streamlit UI for translation results comparison, a Lambda-backed storyboard pipeline with video generation and merging, and CDK-based deployment. Documentation and READMEs were updated to improve onboarding and security posture.
10 Commits • 3 Features
Mar 1, 2025March 2025 monthly summary for the aws-kr-startup-samples repository. Delivered two major features along with deployment and documentation improvements, enhancing both product capability and deployment readiness. Key technical work included backend integration with Bedrock translation APIs, a Streamlit UI for translation results comparison, a Lambda-backed storyboard pipeline with video generation and merging, and CDK-based deployment. Documentation and READMEs were updated to improve onboarding and security posture.
March 2025
February 2025
2 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for aws-samples/aws-kr-startup-samples focusing on end-to-end video generation monitoring and preview capabilities. Delivered Lambda and EventBridge-based status checks, DynamoDB updates tied to Bedrock processing states, S3 URI extraction for completed videos, and a new Video Preview UI with presigned URL playback and clickable invocation IDs. These efforts improve operational visibility, reliability of video generation workflows, and user experience for post-processing results.
February 2025
2 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for aws-samples/aws-kr-startup-samples focusing on end-to-end video generation monitoring and preview capabilities. Delivered Lambda and EventBridge-based status checks, DynamoDB updates tied to Bedrock processing states, S3 URI extraction for completed videos, and a new Video Preview UI with presigned URL playback and clickable invocation IDs. These efforts improve operational visibility, reliability of video generation workflows, and user experience for post-processing results.
December 2024
4 Commits • 4 Features
Dec 1, 2024December 2024 performance summary for aws-samples/aws-kr-startup-samples: Delivered foundational tooling updates, infrastructure scaffolding, and documentation enhancements to improve maintainability and future velocity. No user-facing features were released this month; however, the team strengthened the repo's reliability and onboarding through: upgrading the simple-git dependency to the latest version; removing deprecated repolint tooling; initializing a new AWS CDK TypeScript app scaffold (slack-bedrock-integration) with projen configuration and GitHub workflows; and adding a comprehensive README (including Korean translation) to guide Confluence integration with Amazon Bedrock knowledge base. These changes reduce maintenance overhead, standardize CI/CD practices, and enable faster feature delivery in the next sprint.
4 Commits • 4 Features
Dec 1, 2024December 2024 performance summary for aws-samples/aws-kr-startup-samples: Delivered foundational tooling updates, infrastructure scaffolding, and documentation enhancements to improve maintainability and future velocity. No user-facing features were released this month; however, the team strengthened the repo's reliability and onboarding through: upgrading the simple-git dependency to the latest version; removing deprecated repolint tooling; initializing a new AWS CDK TypeScript app scaffold (slack-bedrock-integration) with projen configuration and GitHub workflows; and adding a comprehensive README (including Korean translation) to guide Confluence integration with Amazon Bedrock knowledge base. These changes reduce maintenance overhead, standardize CI/CD practices, and enable faster feature delivery in the next sprint.
December 2024
November 2024
3 Commits • 2 Features
Nov 1, 2024November 2024 focused on building a scalable foundation for custom persona chatbots with Bedrock Claude 3 integration and on reducing maintenance overhead through cleanup. Delivered a new persona chatbots foundation with a Bedrock Claude 3-based custom persona creator, including a Streamlit UI for character creation and interaction, and deployed via AWS CDK (ECS and ALB). Removed the deprecated persona-chatbot-usermade subproject to reduce maintenance surface. No user-facing bug fixes were required; the work emphasizes capability delivery, reliability, and clean traceability through commits. Business value: faster persona experimentation, scalable hosting, and cleaner codebase for future iterations.
November 2024
3 Commits • 2 Features
Nov 1, 2024November 2024 focused on building a scalable foundation for custom persona chatbots with Bedrock Claude 3 integration and on reducing maintenance overhead through cleanup. Delivered a new persona chatbots foundation with a Bedrock Claude 3-based custom persona creator, including a Streamlit UI for character creation and interaction, and deployed via AWS CDK (ECS and ALB). Removed the deprecated persona-chatbot-usermade subproject to reduce maintenance surface. No user-facing bug fixes were required; the work emphasizes capability delivery, reliability, and clean traceability through commits. Business value: faster persona experimentation, scalable hosting, and cleaner codebase for future iterations.
Activity
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Quality Metrics
Correctness90.6%
Maintainability87.8%
Architecture89.0%
Performance83.0%
AI Usage30.0%
Skills & Technologies
Programming Languages
BashCloudFormationDockerfileHTMLJSONJavaScriptMarkdownPythonShellTypeScript
Technical Skills
ALBAPI ConfigurationAPI GatewayAPI IntegrationAPI developmentAWSAWS BedrockAWS CDKAWS DynamoDBAWS ECSAWS EventBridgeAWS EventBridge SchedulerAWS FargateAWS IAMAWS Lambda
Repositories Contributed To
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