Now building at Hivel AI
I build enterprise-grade Multi-Agent Systems, optimize RAG pipelines, and architect distributed inference infrastructure that scales from zero to production.
Sharing knowledge through writing and building tools for the developer community.
A VS Code extension designed to visualize your code architecture and logic flow in real-time. Simplify complex codebases with interactive maps.
Deep dives into Deep Learning, GenAI patterns, and distributed systems. I write about practical AI engineering and the future of LLM orchestration.
ENGINEERING EXPERIENCE WITH
I build specialized stacks designed for autonomous agents, high-accuracy regulatory RAG, and ultra-low latency inference at scale.
I design and deploy sophisticated Multi-Agent Systems (MAS) that go beyond simple chat. My architectures include hierarchical planning, automated task decomposition, and cross-agent consensus protocols to ensure complex workflows are executed with 99.5% reliability.
Production RAG is about precision. I implement advanced retrieval strategies including hybrid search, multi-stage re-ranking, and dynamic chunking tailored for complex regulatory and technical documentation, achieving 95%+ extraction accuracy.
Scale without compromise. I architect distributed inference engines using WebSockets and ClickHouse for real-time analytics. My systems are optimized for sub-200ms p95 latency even under heavy concurrent loads of 500+ users.
Engineering scalable architecture for every stage of growth.
Laid the foundation with robust ML pipelines and deployments.
Scaled document processing for highly regulated industries.
Architecting the future of enterprise Multi-Agent platforms and autonomous workflows.