CV

Education

S.M. in Electrical Engineering and Computer Science, May 2026
Master of Business Administration (MBA), May 2026
Leaders for Global Operations (LGO), Class of 2026, $100K fellowship awarded
Thesis Research: Multi-Agent Procurement Negotiation, in partnership with Nike
Relevant Coursework: Deep Learning, Advances in Computer Vision, Intelligent Multimodal UI, Law of AI & Big Data
Projects:
- MIT EECS Chrome Extension: annotates MIT EECS subject listings with eligibility in-page, reducing tab-switching friction and simplifying course planning for students (install here)
- Taming CLIP’s Captioning Bias with Permutation Ensemble (blog post)
- Handwriting Learning through Vocalization and Gesture (multimodal iPad prototype)
- MIT Driverless: Parsed track and raceline data from the simulator and visualize optimal racelines.

AI Research Fellow, 2025
- Led product development for a multi-agent negotiation simulator leveraging Agentic AI to unearth efficiency gains in $8B annual materials spending.
- Partnered with stakeholders to define product vision and requirements, translating insights from 30+ subject matter expert interviews into R&D roadmaps.
- Drove iterative improvements on simulation fidelity, agent behaviors, and internal user experience.

Senior Software Engineer / Tech Lead, 2023 - 2024
- Led zero-to-one development of the flagship restaurant conversational AI, scaling to 100M+ interactions and hundreds of millions in GMV.
- Owned reliability, telemetry, and release discipline for production voice-ordering flows.
- Led through a 40% layoff: coached remaining team, supported departing colleagues, and re-prioritized toward highest-value epics.
Software Engineer II / Tech Lead, 2020 - 2023
- Defined vision and product roadmap with PMs and Designers.
- Designed a polymorphic menu data API model enabling integration with 5+ top-tier POS systems.
- Codified engineering standards, supporting team growth from 4 to 15+ engineers.
Software Engineer I, 2018 - 2020
- Built Mandarin conversational AI across 10 knowledge domains for in-car assistants (30K vehicles).
- Launched the first internal Wiki for the core NLU stack.
- Pioneered cross-language collaboration based on linguistic similarities.

NLP: Specialist grammar for ordering food in natural language (US12124804B2)
HCI: Navigating ourselves indoors interactively on a phone (CN112946323A)
Vision: Measuring distance via analyzing pixels of captured target objects (CN111627057B)

Languages: Python, C++, C, Java, R, Bash, Mandarin Chinese, Japanese (elementary)
Technical: PyTorch, Agentic AI, Multi-Agent Systems, Simulation Systems, Machine Vision, Software Architecture, API Design, Git
Product & Leadership: Product Strategy, Requirements Definition, Roadmapping, User Research, Leading & Mentoring, Public Speaking

Co-chair, 2024: Curated 1-week itinerary for 25 visitors from Shanghai Jiao Tong University CLGO program and promoted mutual exchanges with MIT students.

Vice President: Organize speaker series and workshops connecting students with industry leaders in autonomous vehicles and transportation innovation.