Explore real systems built for operations, knowledge retrieval, and software development pipelines. We focus on correctness, auditability, and safety.
Production-grade retrieval-augmented generation pipeline with hybrid search, strict source grounding, and enterprise guardrails.
For engineering and operations teams struggling with documentation sprawl across SharePoint, Confluence, and internal repositories, we engineer production-ready RAG systems. This solution implements a robust FastAPI and PostgreSQL/pgvector backend featuring Reciprocal Rank Fusion (RRF), semantic query routing, JWT/RBAC security, prompt-injection guardrails, and an automated LLM-judge evaluation workflow via LangSmith to enforce citation-backed source grounding.
Standardizing tool interfaces for AI agents in repository automation.
To enable LLM agents to act autonomously on developer tasks, they need reliable tool boundaries. We designed and built a custom MCP server that allows AI agents to securely query workflow logs, inspect commits, and analyze open pull requests.
Custom PR classification and review assistance for developer workflows—not packaged product software.
Complex development workflows suffered from context loss, high latency, and repetitive manual review across distributed codebases. We engineered a custom review-assist pipeline with graph-based task routing and human-in-the-loop approval gates. Senior engineers stay in control of the execution loop, with clean source code and native Azure/GitHub integration.
Automated feedback cycles directly in the pull request interface.
Senior engineers spend too much time reviewing basic linting errors, file paths, and simple security anti-patterns. We integrated Claude reviews directly into Azure DevOps PRs. The bot reviews the diff within 2 minutes of creation, highlighting concerns inline.
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