Summary
Sharmistha Jat is a Senior Machine Learning Scientist with 11 years of experience building multilingual and multimodal ML systems, currently leading development of fine-tuned transformer LLMs and production-ready MLOps at FinTrU. Her background spans industry research and product impact—developing audio-text embeddings at Spotify that improved experiences for millions and pioneering methods to compare LLM representations with human brain activity during a joint PhD at IISc and CMU. She combines deep academic rigor (publications in ACL, NeurIPS, OHBM) with hands-on engineering across the full stack, from custom model architectures to deployment pipelines. Based in the UK, she brings domain-focused ML expertise in finance, transportation, and social media, and a rare blend of neuroscience-informed evaluation techniques that surface how models mirror human representations.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at Indian Institute of Science (IISc)
Master of Technology (MTech), Computer Science, Master of Technology (MTech), Computer Science at IIT Madras
Bachelor of Engineering (BE), Computer Engineering, Bachelor of Engineering (BE), Computer Engineering at MIT College of Engineering, Pune
English, Hindi, Marathi, Japanese