I build production-grade AI systems that go beyond demos — intelligent agents, agentic RAG workflows, text-to-SQL systems, evaluation frameworks, file-intelligence pipelines, and secure enterprise AI integrations.
I love turning complex AI ideas into real-world systems, clean developer experiences, and practical learning content for builders.
🤖 AI Agents & Multi-Agent Systems
🔎 Agentic RAG, Hybrid Search, Vector Search & Text-to-SQL
🧪 LLM Evaluation, Observability & Reliability Workflows
🛠️ Tool Calling, MCP-style Integrations & AI Automation
📄 File Intelligence across PDFs, PPTX, DOCX, XLSX, Logs, ZIPs & Emails
🎙️ Technical Content on GenAI, Agents, RAG, Evals & Open-Source AI
AI / Agents: OpenAI APIs, Azure OpenAI, Claude, Gemini, AutoGen, LangGraph, LangChain, RAG, CRAG, Tool Calling, MCP
Backend: Python, FastAPI, Java, Node.js, Go, Kotlin
Search / Data: Vector Search, Hybrid Search, Embeddings, SQL, Pinecone, Azure AI Search
Cloud / Security: Azure, AWS, GCP, OAuth2/OIDC, JWT, Enterprise SSO
Building reliable GenAI systems for real users.
Exploring agentic workflows, AI evaluation, MCP, developer tooling, and production-grade AI architecture.
Sharing practical AI engineering lessons through GitHub, Hugging Face, YouTube, Instagram, and technical workshops.
I create practical, builder-focused content around Generative AI, LLMs, RAG, AI agents, evaluation systems, open-source AI, and production AI engineering.
AI Bros Podcast — deep dives into GenAI, agents, developer tools, AI infrastructure, and real-world AI systems.
Building AI systems in production. Sharing what actually works.