Lokit Paras

Staff Machine Learning Engineer at PayPal

San Francisco, California, United States
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Summary

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Senior
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Top School
Lokit Paras is a Staff Machine Learning Engineer in San Francisco with 11 years of experience bringing cutting-edge AI from whiteboard to production at scale for consumer-facing platforms. He specializes in agentic AI and multi-agent systems, currently building agentic commerce and assistants that combine long-term memory, personalization, and fine-tuned LLMs to reduce user cognitive load and take real-world actions. His background includes improving ad relevance and revenue at Meta, designing large-scale ETL and ranking systems, and building recommender and transformer-based personalization for PayPal and Venmo. Comfortable across the ML stack—from reinforcement learning and LLM fine-tuning to product-driven feature design—he pairs strong product intuition with a bias for action on greenfield problems. Notably, he has shipped systems serving hundreds of millions to billions of daily users and bridges research-level methods with pragmatic engineering for measurable business impact.
code11 years of coding experience
job4 years of employment as a software developer
bookMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Wisconsin-Madison
bookIndian Institute of Technology Bombay
bookHigher Secondary & Secondary, Higher Secondary & Secondary at D.A.V. Model School, Durgapur
languagesEnglish, Hindi

Github contributions (5)

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Contributions:4 commits, 1 push in 6 months
lokitparas/OS_lab

Jan 2016 - Mar 2016

Contributions:16 pushes, 1 branch in 2 months
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