Mozhi Zhang
AI Engineer at Alva
College Park, Maryland, 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.
12 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 (14)
datasets9
nlp8
machine-learning7
deep-learning7
tensorflow6
latex5
acl5
word-embeddings4
api4
natural-language-processing4
python3
authentication3
sdk3
ccm1
Programming languages (3)
Github contributions (5)
zhangmozhi/iternorm
Nov 2019 - Jul 2021
Contributions:7 commits, 6 pushes, 1 branch in 1 year 8 months
zhangmozhi/renrenpy
Jun 2013 - Oct 2013
Contributions:32 commits in 4 months
apipythonoauth2-authenticationauthenticationsdk
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