Hybrid RAG
Document intelligence at the intersection of semantic search, knowledge graphs, and retrieval routing.
I build intelligent applications, autonomous agents, and the software that connects them to the real world.
Selected explorations in intelligent software.
Explore the case study and available applications.
Document intelligence at the intersection of semantic search, knowledge graphs, and retrieval routing.
A multi-agent engineering workspace connecting plans, implementation, tests, review, and human approval.
I build software that connects intelligent models to useful applications. My work explores document understanding, agent workflows, and the backend systems that make them practical.
More about meThe tools I work with,
organized by what they make possible.
Python · JavaScript · TypeScript · SQL · Java · C/C++
Machine Learning · NLP · LLMs · RAG · AI Agents · scikit-learn · LangChain · LangGraph · Hugging Face
PostgreSQL · Neo4j · MongoDB · FAISS · Docker · GitHub Actions · AWS · Git · Linux
Worked on automated financial reconciliation, information collection, database synchronization, role-based access control, Power BI reporting, and Random Forest discrepancy classification for decision support.
Contributed to a recruitment SaaS using Django, React, and PostgreSQL, with AI-supported CV analysis, Docker, GitHub Actions, AWS deployment, and Scrum collaboration.
Interested in software engineering, artificial intelligence, backend development, and intelligent systems. Let’s talk about your team, a project, or an opportunity.
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