Purva Pruthi
Research Assistant at University of Massachusetts Amherst
San Francisco, California, United States
Summary
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Senior🎓
Top SchoolPurva Pruthi is a machine learning researcher and PhD candidate with 12 years of experience applying causal inference, reinforcement learning, and deep learning across finance, agriculture, and biology. She spent a year as an AI Resident at X (The Moonshot Factory) tackling real-world agricultural and biological problems and interned at Amazon Cambridge developing invariant causal dynamics for transfer in RL. Prior to academia, she built production-ready quantitative models and automation pipelines at Goldman Sachs, improving reconciliation efficiency by 25%. Her current research at UMass Amherst focuses on modular causal models and formalizing modularity in RL to enable faster adaptation when environment dynamics shift. Comfortable moving between theory and deployment, she has a track record of translating causal ideas into practical systems for startups and large organizations. Based in San Francisco, she brings a rare mix of domain breadth—from electrochemical causal modeling to systematic investing—and a pragmatic focus on evaluation with experimental datasets.
12 years of coding experience
3 years of employment as a software developer
Indian Institute of Technology RoorkeeDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Massachusetts Amherst
Github Skills (22)
embedding7
health-data7
react6
agent6
nodejs6
synthetic-data6
browser6
synthetic6
simulation6
javascript6
chatbot5
typescript5
simulator5
transformers5
openai4
Programming languages (5)
Github contributions (5)
purvapruthi/TextExtract
Mar 2014 - Jan 2019
Contributions:16 commits, 1 push in 4 years 10 months
Information-Fusion-Lab-Umass/causal_transfer_learning
Jul 2020 - Jun 2024
Contributions:1 push, 1 branch, 1 comment in 3 years 11 months
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