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Built a conversational AI workflow with the Anthropic SDK that lets grad and undergrad borrowers find their best loan options, on a TypeScript/Vite + Hono stack.
Architected the serverless backend on AWS with Terraform (Lambda, API Gateway, DynamoDB, KMS, Cognito) to handle high-volume traffic securely, and shipped a DynamoDB-to-Snowflake pipeline for the analytics team.
anthropic sdk on the front, terraform + lambda underneath, snowflake at the end.
Built a Retrieval-Augmented Generation system (Qdrant + PostgreSQL) with Python LangChain/LangGraph agents to surface disease-treatment pathways, and co-authored the paper.
Engineered a validation framework over ~5,600 metabolic models (98% correct) and integrated scikit-learn/TensorFlow models, all packaged in Docker for one-command setup.
5,600 metabolic models, validated at 98%. research that runs.
Designed MongoDB schemas and Node.js CRUD APIs for 1,000+ users, and built interactive React canvas features like a draggable notes card and drag-and-drop uploads.
Integrated GPT-4, Claude, and Gemini for text, image, and flowchart generation, with Docker/AWS CI/CD.
LangGraph agents (Python/FastAPI) debate each other to find vulnerabilities, with a fine-tuned GPT-4 behind them, deployed on AWS EC2 with Redis/Celery caching. They open PRs and learn from the feedback.