Mehrnaz Amjadi
Staff DL Data Scientist - Technical Lead
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolMehrnaz Amjadi is a Staff Deep Learning Data Scientist and technical lead based in the San Francisco Bay Area with a Ph.D. in Machine Learning and eight years of experience translating research into production-scale personalization and recommender systems. She combines deep academic expertise—graph attention networks, transformers/BERT, Seq2Seq LSTMs—with hands-on deployment of LLMs and ASR models on NVIDIA SuperPODs and end-to-end pipelines in NVIDIA GPU Cloud. Her career spans applied research, industry collaborations, and leadership roles where she designs revenue-driven AI products, anomaly and causal inference systems, and real-time personalization engines. She has a strong background in big-data ecosystems (Spark, HDFS, Hadoop) and a track record of bridging theoretical advances in graph and sequence modeling to tangible business impact. Colleagues describe her as a collaborative researcher-engineer who thrives in interactive teams and enjoys tackling open-ended user-behavior problems to surface relevant content in real time.
8 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Business Analytics, Master of Science - MS, Business Analytics at University of Illinois SystemBachelor of Science - BS, Applied Mathematics, summa cum laude, Bachelor of Science - BS, Applied Mathematics, summa cum laude at University of TehranExchange Ph.D. Scholar, IEMS, Exchange Ph.D. Scholar, IEMS at Northwestern University
English, Persian
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (2)
knowledge-graph6
recommender-system6
Programming languages (1)
Github contributions (5)
mzamjadi/BERT4Recom
Apr 2020 - May 2020
Contributions:32 commits, 16 pushes in 1 month
mzamjadi/mzamjadi.github.io
Oct 2019 - Mar 2023
Contributions:18 pushes, 1 branch in 3 years 5 months
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