Amrit Bulusu
Machine Learning Research Engineer - Search And Personalization
New York, New York, United States
Summary
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Senior🎓
Top SchoolAmrit Bulusu is a Machine Learning Research Engineer with nine years of experience building production ML and NLP systems for enterprise products, currently focused on search, personalization, and conversational assistants at Bloomberg. He has led development of domain-adapted language models and contrastive learning pipelines (SimLM, SimCSE) to improve content discovery and personalized query routing across legal, tax, and government domains. Previously as Lead Data Scientist at AppZen he architected multilingual document extraction, translation microservices, and transformer-based classifiers deployed on Kubernetes with high precision for financial doc processing. His work blends research and engineering—he conducts rigorous LLM evaluations for contract and obligation extraction and translates findings into product guidance for legal/finance workflows. Comfortable spanning the stack from model training and evaluation to scalable deployment, he also brings academic depth from NLP research on personalized summarization and dependency-structure extraction. Based in New York, he pairs enterprise-focused impact with a strong track record of turning novel NLP research into reliable production services.
9 years of coding experience
6 years of employment as a software developer
Graduate Certificate Program Advanced Databases and Knowledge Discovery, Graduate Certificate Program Advanced Databases and Knowledge Discovery at University of North Carolina at CharlotteBachelor of Technology (B.Tech.) Computer Science, Bachelor of Technology (B.Tech.) Computer Science at GITAM Deemed University
English
Stackoverflow
31reputation
1kreached
0answers
2questions
Github Skills (4)
nlp6
brat6
part-of-speech6
google-cloud-platform6
Github contributions (5)
amritbulusu/SACT
Jul 2017 - Nov 2017
Contributions:8 commits, 5 pushes, 1 branch in 4 months
saiavinashch/wikidrugs
Nov 2017 - Nov 2017
Contributions:2 commits, 2 pushes in 1 day
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