Summary
Rachita Jain is an AI Operations Lead based in the San Francisco Bay Area with a decade of experience building production-ready Generative AI, ML, DL, and NLP systems that drive customer engagement and measurable impact. She has led data science and ML engineering efforts at organizations from Thermo Fisher to NVIDIA, delivering applied solutions—from contract intelligence and document segmentation to clinical EEG survivability models—with demonstrated gains in accuracy and processing efficiency. Her research background includes gender-focused analysis of academic publication trends and soil and remote-sensing projects, reflecting a strong interdisciplinary curiosity and rigorous quantitative skill set. A hands-on machine learning engineer (MLE) comfortable with PyTorch, NLP toolkits, and deployment on cloud infrastructure, she also mentors emerging technologists and is passionate about advancing women’s growth across fields. Notably, she has a track record of turning research prototypes into interpretable, clinician-friendly tools and production pipelines that cut latency and cognitive load for end users.
10 years of coding experience
9 years of employment as a software developer
Bachelor of Technology (BTech) Information Technology, Bachelor of Technology (BTech) Information Technology at Govt. Engineering College, Ajmer
Master of Science - MS Computer and Information Sciences General, Master of Science - MS Computer and Information Sciences General at University of Pittsburgh
Introduction to Deep Learning, Introduction to Deep Learning at Carnegie Mellon University
English, Hindi