Developer Advocacy

At Zoom, I create technical content, demos, and sample code that help developers integrate Zoom's APIs and SDKs seamlessly. I provide presales demos and post-sales guidance to accelerate adoption and reduce integration friction.

AI-Driven Development

I'm deeply invested in AI-powered development workflows, working extensively with frontier models like Claude (Anthropic), GPT-4 (OpenAI), and open-source LLMs. Using tools like Cursor, Claude Code, Replit, and v0, I've built complete full-stack SaaS applications—from architecture and database design to backend APIs and frontend UI—in days rather than weeks.

I actively explore agentic AI frameworks and orchestration:

• Agentic Systems: CrewAI, AutoGen, LangChain, LangGraph for multi-agent collaboration
• Model Context Protocol (MCP): Extending AI capabilities with custom tools and data sources
• Workflow Automation: n8n for AI-powered integrations
• LLM Infrastructure: Hosting and deploying open-source models (Llama, Mistral), inference optimization
• RAG Systems: Building retrieval-augmented generation pipelines for context-aware applications
• Prompt Engineering: Crafting production-grade system prompts, function calling, structured outputs

Technical Foundation

My engineering background includes Golang and Python microservices on GCP, Android development with Java/NDK/WebRTC, and telecom protocols (SIP, SDP, RTP) aligned with GSMA standards. I've managed containerized workloads, databases (SQL, Spanner, BigQuery), and collaborated with global teams.

Philosophy

I believe the future lies in human-AI collaboration—leveraging AI for rapid prototyping while maintaining strong engineering fundamentals. I'm here to build, experiment, and share what I learn with the developer community.