Distributed Systems • Agentic AI • Performance Engineering
📍 Los Angeles, CA
Software Engineer specialized in distributed AI infrastructure and high-performance full-stack systems. Currently architecting agentic workflows and observability suites at scale using Python, TypeScript, LangGraph, ClickHouse, and Redis.
- ⚡ Performance Optimization — Improved API response times by 60% and achieved 85% cache hit rates using multi-layer Redis strategies with in-memory fallbacks.
- 🏗️ Architectural Migration — Orchestrated transition from Amazon Neptune to Supabase, doubling query performance and reducing infrastructure spend by $1.8k/mo.
- 🤖 Agentic Systems — Architected fault-tolerant multi-agent systems with LangGraph, implementing async execution, state persistence, and conditional routing to reduce processing latency by 52% (8.2s to 3.9s).
- 🛡️ Observability & Reliability — Engineered real-time tracing for 10k+ daily operations using ClickHouse; maintained 99.98% system uptime through automated health-check orchestration.
- 🔄 Engineering Velocity — Reduced deployment cycles by 50% through zero-downtime CI/CD pipelines (CircleCI, Vercel, Render) and standardized an NPM UI library (Chakra UI) to accelerate developer experience.
- 📖 Open Source — Contributed LLM Observability & Cost Monitoring utilities to the official Google Gemini Cookbook (PR #1088), implementing sub-second API health heartbeats and real-time USD cost tracking.
| Project | Description | Tech Stack |
|---|---|---|
| Google Gemini Cookbook | Official Contributor: Developed cost-tracking and API health monitoring for Gemini 2.0/3.0 with sub-second heartbeats. | Python, Google Gemini API, LLM Observability |
| Auto-Unit-Agent | Autonomous LLM Agent that recursively generates and debugs Jest tests using LangGraph with OS-level sandboxing. | TypeScript, LangGraph, Jest, Node.js |
| MoodBite | Mood-driven food recommendation agent powered by AI with context-aware suggestions. | Next.js 14, TypeScript, Hugging Face AI |
- 🏅 Excellency Award, Deloitte — Recognized for predictive analytics innovation in recruitment platform architecture (2022).
- 👨🏫 Technical Interview Facilitator, Onetera — Led technical interviews and mentoring sessions, improving hiring efficiency and team growth (2024).
- Master of Science in Computer Science — University of Southern California (Aug 2022 - May 2024)
- Bachelor of Engineering in Computer Science — Visvesvaraya Technological University (Aug 2017 - Aug 2021)
- AWS Certified AI Practitioner — Amazon Web Services (2026) | View Credential
- MTA: Introduction to Programming Using Python — Microsoft (2020) | View Credential
- Microsoft Certified: JavaScript — Microsoft (2019) | View Credential
