About Me
I am a Machine Learning scientist working at Amazon AWS AI/ML. My work focusses on Large Scale Machine Learning, Optimization, Distributed Learning, and their applications to applied areas such as NLP, IR and Ranking/Recommender Systems. I currently work on research and development of distributed training techniques for scaling massive scale transformer models.
I received my PhD in Computer Science from University of California, Santa Cruz. Prior to my PhD, I worked full-time in the personalization org at Yahoo! on ML, NLP for Entity Matching, Entity Detection and Knowledge Graphs. I got my Masters from Georgia Tech where also worked as a research assistant in the Sonification Lab.
Available For
- Conferences / panels
- Guest judging
- In-class lectures
- Keynotes
- Media interviews
- Online engagements
- Q&A sessions
- Workshops
Speaker's Experience
Scaling Multinomial Logistic Regression via Hybrid Parallelism
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019)
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08/2022
Guest Lecture: Distributed Machine Learning: Approaches and Challenges
AMS 250 - High Performance Computing course at UC Santa Cruz
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04/2018
Tech Talk: Hybrid Parallel Parameter Estimation for Machine Learning
IBM Research Almaden
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01/2022
Academic OR Industry Research Collaboration Interests
No details are available.
Awards and Accomplishments
No details are available.
Alumni Associations
No details are available.
Language(s) of Delivery
No details are available.
Primary Skills
Machine LearningArtificial IntelligenceNatural Language ProcessingDistributed TrainingDeep Learning
Badges Received
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