Summary
Rohit Lokwani is a Senior Data Scientist with 8 years of experience applying machine learning to high-impact production and research problems across healthcare, manufacturing, and aerospace. He blends deep learning and classical ML—shipping medical imaging models and anomaly detection systems that have screened hundreds of thousands of patients and cut inference time by 85%—with platform work to monitor drift at multi-million-image scale. At DeepTek he led teams, reproducible model audits, and research that produced multiple conference papers, and at Seagate and Boeing he deployed self-supervised and ordinal time-series solutions that reduced feature needs and improved ranking forecasts. Now at Fortive, he continues to move models from prototype to production while combining rigorous experimentation, hypothesis testing, and explainability. He holds an MS in Data Science from the University of Washington (3.99 GPA) and a top-tier engineering degree, reflecting a mix of strong academic results and practical system-building experience.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Data Science, Master of Science - MS, Data Science at University of Washington
Bachelor of Engineering, Computer Engineering, Bachelor of Engineering, Computer Engineering at Pune Institute of Computer Technology
English, Hindi, Marathi, Sindhi