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.
11 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Wisconsin-Madison
Indian Institute of Technology Bombay
Higher Secondary & Secondary, Higher Secondary & Secondary at D.A.V. Model School, Durgapur
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