Passionate about building high-quality software and AI/ML solutions. Clean architecture, scalable systems — from stream processing pipelines to intelligent AI agents.
// Capabilities
Builds intelligent pipelines — RAG systems, fine-tuned LLMs, and MCP servers that bridge AI models with real-world data sources.
Designs event-driven architectures and real-time pipelines processing millions of events with exactly-once semantics.
Architects scalable distributed systems — from high-level design to container orchestration across cloud platforms.
Builds robust REST APIs and microservices with Java Spring Boot and Python FastAPI — clean layered architecture, full test coverage, production-grade reliability.
// About
I'm passionate about building high-quality software and AI/ML solutions that address real-world challenges. I enjoy collaborating with fellow developers and working with open-source tools to build scalable, efficient systems. I'm always exploring better ways to solve problems through clean architecture, thoughtful design, and continuous learning.
Co-created the first-ever Python-based Model Context Protocol (MCP) servers for Azure Cosmos DB, enabling seamless AI agent integration with Microsoft's globally distributed database platform.
// Skills Ontology
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// Open Source Contributions
I independently source, root-cause, and fix real defects — race conditions, security gaps, silent correctness bugs — in the infrastructure I build on: Google, Apache, and Grafana's AI tooling, and protocol specs like MCP and A2A. Every entry below ships with a diagnosis, a regression test, and a maintainer write-up — a real PR or proposal, not a curated highlight reel.
// Writing
// Contact
"Building software is not just about writing code — it's about solving real-world problems at scale."