- 🔬 Research Scientist working on LLM-powered systems & code intelligence
- ⚙️ Building agentic AI systems that reason over real-world data
- 🧩 Interested in reliability, interpretability & evaluation of GenAI systems
- 🚀 Previously worked on network observability with LLM agents (Cisco ThousandEyes)
- 🏗️ Background in program analysis, static analysis & compiler tooling
- 🌍 Still determined to travel the world (debugging distributed systems everywhere)
- 🤖 Agentic LLM systems (reasoning, tool use, evaluation)
- 📊 Large-scale AI system reliability & observability
- 🧠 Code intelligence & vulnerability analysis
- 🔍 Context engineering for better LLM reasoning
- 🏗️ From research → production AI systems
- 🥇 Most Innovative Project — Cohere Expedition Aya (2025)
- 🥉 ACM SRC Grand Finals (Global) — 3rd Place
- 🥇 SPLASH SRC Winner (Graduate Category)
- 🎓 Ph.D. in Computer Science — UC Riverside
- 📄 CodeClarity — Multilingual code summarization benchmark
- 📄 FormalSpecCpp — LLM-generated formal specifications for C++
- 📄 Indirection-Bounded Call Graph Analysis (ECOOP)
- 📄 Vulnerability detection in LLM-generated code (MSR / Microsoft Research)
Languages: Python • C/C++ • JavaScript • TypeScript AI/ML: PyTorch • LLMs • Prompt Engineering • OpenAI APIs LLM Tooling: LangSmith • Semantic Kernel • Evaluation Pipelines Infra: AWS • Docker • Kubernetes • GitHub Actions
- 🍫 Diagnosed with Obsessive Chocolate Disorder
- 🍳 I cook like I prompt — iterative and occasionally chaotic
- 🎅 Still believe Santa is real (and probably an AI system)
- 🧭 Travel goal: collect bugs from every timezone
- LLM agents that actually work in production
- Evaluating reasoning (beyond benchmarks)
- Code + AI intersections
- Or just… chocolate 🍫