David Hu

About David Hu

See my work: https://github.com/dhu2022-devI’m a Computer Science student at the University of Virginia with experience delivering production-ready backend and ML systems at scale. Most recently, I interned at Capital One on the Cloud Platforms team, where I helped build a real-time anomaly detection system for cloud optimization recommendations — integrating ML pipelines, Go microservices, and dashboard infrastructure used across multiple lines of business.I’ve also worked as an AI Developer Intern at the American Chemical Society, where I built NLP pipelines for document classification and automated metadata extraction. Outside of internships, I’ve led predictive modeling projects in live event analytics and participated in competitive fintech externships focused on algorithmic strategy.I’m especially drawn to roles where I can ship real systems, work across backend/infra/ML boundaries, and grow alongside talented engineers solving complex technical problems.

Experience

1. Machine Learning Engineer

   Mercor

   Mar 2026 — Present · San Francisco, CA, US

   Training, testing, and evaluating ML models.Researching, designing and building agentic experiments.

Education

• Leangap Entrepreneurship Program

  Entrepreneurial and Small Business Operations

• Thomas Jefferson High School for Science and Technology

  Advanced Honors Diploma

  2018 — 2022

• William & Mary

  Bachelor's (not conferred), Computer Science

• University of Virginia

  Bachelor's degree, Computer Science

• LaunchX Entrepreneurship Program

  Entrepreneurial and Small Business Operations