I build things that ship. Software engineer with 5+ years turning messy problems into production systems — from distributed data pipelines to AI agents that actually work.
I don't build in a vacuum. Best code I've written came from sitting next to the people who use it — facility managers, researchers, operators — and iterating until it actually solves their problem. Ship fast, measure impact, repeat.
- Currently building agentic AI systems with RAG pipelines, vector search, and LLM orchestration
- Deployed an enterprise AI Slack bot — answers questions and automates workflows 24/7
- Built a building automation platform — 37 APIs, 35K+ devices, 172 networks
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Building Automation Platform
Embedded with facility managers and operations teams. Built the entire stack from scratch — React/TypeScript frontend, Python backend, 37 REST APIs, real-time WebSocket streaming. Serves 35K+ devices across 172 networks with 99.2% accuracy.
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AI Resume Optimization Platform
Multi-agent system: job scanner, semantic matcher, resume optimizer. RAG pipelines with vector search, LLM orchestration via Groq, LaTeX compilation pipeline. Ships real PDFs, not demos.
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Enterprise Slack Bot
AI-powered chatbot integrated into company Slack via Socket Mode. Built tool/agent integrations with internal APIs for automated workflow management. Sub-40s response times, OAuth 2.0 security.
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Distributed Data Pipeline
Kafka + Spark streaming on Kubernetes. Processing 500K+ events/day with exactly-once semantics, fault-tolerant async delivery, dead-letter queues. 99.5% availability through event-driven architecture.
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Currently shipping AI agents and looking for hard problems to solve.