Billy Jiang

About Billy Jiang

Seasoned ML Tech Lead building agentic systems for complex, high-stakes decisioning at scale.I design and deliver end-to-end technical roadmaps that replace brittle rules and narrow point models with autonomous, tool-using agents—powered by multimodal VLMs, SFT/RL fine-tuning, rigorous data curation, calibrated uncertainty, and production-grade evaluation—while preserving safety, policy alignment, and trust.

Experience

1. Machine Learning Tech Lead

   Snap Inc.

   Jan 2025 — Present

   GenAI content moderation — fine-tuned multimodal VLMs (LoRA/SFT) with calibrated probabilities- Agentic ad review (AdSentry) — large scale autonomous tool-using agent with policy RAG and multi-step reasoning for high-stakes moderation- ML roadmap ownership — drove xx% ad review and xx% creative tagging automation targets- Cross-team technical direction — set org-level GenAI strategy, aligned ML, backend, and operations on phased rollouts, production evaluation, and safety guardrails

Education

• Duke University

  Master's degree, Statistics

  2018 — 2020

• University of California, Berkeley

  Bachelor's degree, Economics

• University of California, Berkeley

  Bachelor's degree, Applied Mathematics

  2014 — 2018