AI/ML Engineer · Stanford M.S. EE · Agentic Systems
I’m an AI/ML engineer and builder focused on turning language models into reliable systems that can plan, use tools, remember context, and execute real operational workflows.
My work spans agent architecture, retrieval and memory systems, full-stack AI products, and automation platforms. Recently, I’ve built AI agents for supply-chain operations, customer engagement, dispatch optimization, and long-context memory.
I like working close to messy, high-friction problems where better software can change how people actually operate. Outside of work, I’m usually playing fingerstyle guitar, on a tennis court, or learning performance driving.
Glowia AI
Built a conversational AI agent for MedSpa customer engagement, automating Instagram DM intake, appointment booking, deposits, and operator monitoring through a React dashboard and configurable LLM pipelines.
Oracle
Developed and deployed an AI-powered automation agent for Oracle's supply chain platform, integrating Node.js, Puppeteer, Slack API, OCI Queues, Docker CI/CD, and Llama-4 root-cause generation to cut backport processing time by 40%.
Stanford University — Prof. Tom Lee
Designed an associative memory system for LLM agents, replacing standard RAG with graph-based spreading activation, multi-stage retrieval, keyword extraction, and time-decay scoring for long-context agent recall.
Stanford University
Teaching and mentoring students on building robust software systems alongside Prof. Sara Achour. Designing assignment workflows, reviewing LLM-generated code for correctness, and providing project feedback to students.
Sumixer
Built an AI-powered dispatch optimization platform using FastAPI, React, PostgreSQL, geospatial scoring, LLM-assisted ranking, and a real-time operator dashboard for local home-service operations.
A graph-based agent memory system that combines semantic similarity, spreading activation, YAKE keyword extraction, and time-decay scoring to improve multi-hop recall.
A conversational agent that qualifies inbound leads, answers service questions, schedules appointments, collects deposits, and gives operators real-time visibility into conversion performance.
M.S. in Electrical Engineering, AI & Machine Learning
GPA: 3.8/4.0. Teaching Assistant for CS 295 Software Engineering.
B.Eng. in Software Engineering
GPA: 3.9/4.0. Core Member, National Innovation & Entrepreneurship Base.