Information Retrieval Engine
A complete retrieval pipeline spanning web corpus collection, data cleaning, disk-backed inverted indexing, and relevance ranking.
AI forward-deployed engineer · Full-stack builder
I turn ambiguous AI ideas into systems that can be tested, shipped, and trusted.
01 / Selected work
From 56,000-page search corpora to 2TB video pipelines, each project turns a hard engineering problem into a result that can be measured.
A complete retrieval pipeline spanning web corpus collection, data cleaning, disk-backed inverted indexing, and relevance ranking.
A constraint-driven solver combining frontier pruning, probability, and a three-tier decision system.
An industrial video pipeline for dataset preparation, YOLOv8 training, CUDA inference, and stable cross-frame detections.
02 / Experience
I work across the delivery loop: requirement discovery, AI system design, integration, evaluation, interface, and cloud deployment.
JC Pacific Corp · Irvine, CA
Translated real-estate workflows into deployable AI systems: a RAG assistant designed for roughly 800 active listings, a GPT + DocuSign contract POC, and an evaluation suite spanning 300 RAG questions, 50 contracts, and 200 multi-turn conversations.
Gotchoo · Los Angeles, CA
Built a zero-code, privacy-first gifting integration on a serverless AWS architecture, combining encrypted recipient data, multi-tenant isolation, and Stripe payments with a 99%+ transaction success rate and roughly 25% lift in merchant conversion.
Vision X · San Jose, CA
Delivered an end-to-end advertising workflow that paired GPT copy generation with Midjourney visuals, then built a reusable prompt evaluation, component, and data-model foundation that reduced average AI feature development time by about 33%.
03 / About
I earned a B.S. in Computer Science from UC Irvine and now build applied AI systems across retrieval, evaluation, and full-stack delivery.
I am strongest where the requirements are still fuzzy: turning business context into a testable technical plan, connecting models to real data and workflows, and defining the metrics that tell us whether the system is ready.
B.S. Computer Science · Sep 2022 — Mar 2025 · GPA 3.6 / 4.0 · Major GPA 3.7 / 4.0
04 / Toolkit
Comfortable owning the complete path from retrieval and model evaluation to APIs, data systems, product interfaces, and cloud delivery.