William Huang

Co-Founder

San Francisco, California, United States3 yrs 10 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Developed AI tools impacting 7,000+ students.
  • Conducted advanced research in machine learning.
  • Interned at top companies like Waymo and Citadel.
Stackforce AI infers this person is a Machine Learning and AI specialist with experience in Automotive and Finance sectors.

Contact

LinkedIn

Skills

Core Skills

Machine LearningQuantitative ResearchEntrepreneurshipEducation

Other Skills

Reinforcement LearningAI DevelopmentDeep LearningTeachingPythonC++Python (Programming Language)

Experience

Waymo

ML Research Intern

Jun 2025 – Sep 2025 · 3 mos · Mountain View, CA

  • Trained sparse multi-sensor fusion model for lane line, obstacle, and vehicle detection.
Machine Learning

Citadel securities

Quantitative Research Intern

Jun 2024 – Aug 2024 · 2 mos · Miami, Florida, United States

  • Systematic equities monetization strategies via policy optimization (reinforcement learning).
Reinforcement LearningQuantitative Research

Oncourse

Co-Founder

Aug 2023 – May 2024 · 9 mos

  • Developed an innovative AI-powered tool designed to transform college course planning used by 7k+ Stanford students with over $20k in prizes.
AI DevelopmentEntrepreneurship

Stanford artificial intelligence laboratory (sail)

Machine Learning Researcher

Jun 2023 – Jun 2024 · 1 yr · Stanford, California, United States · On-site

  • Optimized constrained diffusion inference for image/human motion models. Advised by Prof. Karen Liu.
Machine Learning

Stanford university school of engineering

CS 198 Section Leader

Mar 2023 – May 2023 · 2 mos

  • TA for CS 106A and 106B, Stanford's intro programming/data structures sequence in Python & C++.
TeachingPythonC++Education

Harvard medical school

Deep Learning Researcher

Jan 2023 – Jun 2023 · 5 mos · Stanford, California, United States

  • Multimodal learning and vision language processing, advised by Prof. Andrew Ng and Prof. Pranav Rajpurkar.
Deep LearningMachine Learning

Stanford university

Undergraduate Researcher in Physics

Jun 2020 – Aug 2022 · 2 yrs 2 mos

  • Research on Fast Radio Bursts (FRBs), advised by Prof. Petrosian.

Education

Stanford University

Master of Science - MS — Computer Science

Jan 2024 – Jan 2026

Stanford University

Bachelor of Science - BS

Jan 2022 – Jan 2025

Lynbrook High School

Jan 2018 – Jan 2022

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