Mozhi Zhang
AI Engineer at Alva
United States
Summary
👤
Senior🎓
Top SchoolMozhi Zhang is an AI engineer and PhD candidate at the University of Maryland with 13 years of experience building research-driven ML systems and production AI products. She has led LLM training from scratch and shipped conversational and domain-specific products at MiniMax, followed by RL and synthetic data research, and currently works on applied AI at Alva. Her background includes internships at Microsoft, Google, and Facebook where she focused on LLM reply suggestion, citation deduplication, and feed infrastructure—skills that bridge research and large-scale engineering. Mozhi publishes academic work (see Google Scholar) while also contributing practical ML engineering expertise, making her equally at home prototyping novel models and deploying them in product contexts. An underappreciated strength is her track record of taking research ideas through full-stack implementation into user-facing AI features.
13 years of coding experience
2 years of employment as a software developer
Johns Hopkins UniversityPhD Computer Science, PhD Computer Science at University of Maryland
English, Chinese
Github Skills (12)
ai8
tensorflow5
latex5
api4
word-embeddings3
python3
trading3
authentication3
sdk3
backtest2
ccm1
agentic1
Programming languages (4)
Github contributions (5)
zhangmozhi/retrofit_clwe
Apr 2020 - Jul 2021
Why Overfitting Isn't Always Bad: Retrofitting Cross-Lingual Word Embeddings to Dictionaries (ACL 2020)
Contributions:11 commits, 1 PR, 10 pushes in 1 year 3 months
word-embeddings
zhangmozhi/iternorm
Nov 2019 - Jul 2021
Contributions:7 commits, 6 pushes, 1 branch in 1 year 8 months
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