Manasvin is a Machine Learning Engineer specializing in LLM inference, retrieval systems, and ML infrastructure. With a Masters from UC San Diego, he has a proven track record of optimizing performance, having improved LLM inference throughput by 2. 7x and reduced ML pipeline processing times by 40% at Standard Chartered.
Outside of his core work, Manasvin is deeply engaged in the AI community. He actively participates in hackathons, explores concepts from books like Chip Huyens "AI Engineering, " and attends industry events like the PyTorch Conference to discuss the future of model deployment and edge computing.
He recently kicked off 2026 by placing in the Top 7 globally at the NSF Scientific Modeling hackathon.
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