I'm a full-stack software engineer combining a background in marketing analytics with a Master's in Computer Science at the University of Pennsylvania. The journey has given me a rare mix of user insight, data architecture, and technical precision.
Since graduating, I've built full-stack applications that integrate search, information retrieval, and LLM-powered features. My work spans the entire stack: from designing databases and data pipelines to building APIs and frontend development.
I recently completed ✨Reading Bee, my own AI-powered book recommendation platform that integrates RAG pipelines, FAISS vector search, and semantic embeddings on a FastAPI + PostgreSQL backend.
Currently working on an AI agent-driven NPC simulation platform, combining game design and generative AI, creating dynamic, human-like character interactions. 👉 About this Project
- Languages: Python · JavaScript · TypeScript · Java · SQL · Bash
- Web & APIs: FastAPI · React · Node.js · Express · HTML/CSS · RESTful APIs · Neo4j
- Data & ML: PostgreSQL · pgvector · Scikit-learn · FAISS · Pandas · NLP · Feature Engineering · Data Visualization
- DevOps & Cloud: Docker · Kubernetes (K3s) · ArgoCD · Nginx · AWS RDS · CI/CD · GitHub Actions
- Tools & Workflow: Git · Vim · VS Code · Postman · Jupyter Notebook · Figma · Linux Shell · DataGrip
- AI & Systems: OpenAI · Claude · Ollama · Semantic Search · Vector DB · Retrieval-Augmented Generation (RAG) · Model Context Protocol (MCP)
- 📍 Based in New York, NY
- 💼 Reach me on LinkedIn
✨ The world is your oyster, and the future is ours to design. ✨