AI Engineering Leader · Cloud-Native Architect · Open-Source Builder
Engineering leader and hands-on builder with 18 years in distributed systems and cloud infrastructure, now focused on LLM-powered systems, agent orchestration, and production-grade AI platforms. I believe in rapid prototyping, open-source-driven innovation, and shipping real AI products — not just demos.
focus: - LLM Infrastructure & Agent Orchestration - RAG Pipelines & Document Intelligence - Multi-modal AI Systems - Cloud-Native Architecture (Serverless, Containers) current_stack: languages: [Python, TypeScript, Go] infra: [AWS, Cloudflare, Docker, Terraform] ai: [Bedrock, Claude, GPT, DeepSeek, Stable Diffusion] motto: "Ship it. Open-source it. Iterate."
Led 1,000+ solution deployments globally with 100+ production launches. Here are some highlights:
Architected and shipped an IDP system with structured data extraction via LLM + validation layers, RAG-based document indexing with citation, and case association algorithms. Production-scale for legal industry.
Rapid prototyping of agent-based workflows, document reasoning, and summarization systems. Built evaluation frameworks for prompt iteration and model benchmarking.
From concept to architecture to production — built AI-native cloud solutions at scale integrating document AI, vector pipelines, and serverless infrastructure.
Core contributor and maintainer of 10+ repositories. I build tools I wish existed.
From low-level network processors to LLM agents — always at the systems layer.
Building and scaling LLM-powered document processing, RAG pipelines, and agent workflows for legal industry.
Led teams delivering AI-native cloud solutions globally. 1,000+ deployments, 100+ production launches. Core OSS contributor.
Built carrier-grade distributed systems. Hardware-software co-design, network processors, IP/MPLS protocol stacks, segment routing.
7 patents granted across US, EU, and China — spanning network resource optimization, SDN, packet processing, and distributed systems.