I bring a backend developer's mindset—obsessed with security, performance, and scalability—to the world of LLMs, RAG systems, and AI-powered applications. My journey to AI engineering was a deliberate path through sales, entrepreneurship, and enterprise backend development that taught me one core lesson: technology must solve real-world problems.
My experience engineering scalable systems for 100,000+ users taught me how to build things that last. Today, I apply that full-stack perspective to my passion: building intelligent, secure, and production-ready AI systems that deliver tangible business value.
Here are some of the projects I'm proud of:
Architected and deployed a secure, AI-powered document intelligence platform with a full RAG pipeline, OAuth2/JWT authentication, and a real-time Google Drive auto-ingestion system. Tech: Python, FastAPI, Next.js, PostgreSQL, Qdrant, LangChain, FinLlama |
Engineered an AI-driven, Jira-like tool that boosted team efficiency by automating sprint planning, detecting scope creep, and generating risk heatmaps. Tech: Java, Spring Boot, React, Redux, PostgreSQL (with PGVector) |