Summary
Rajarshi Basak is a PhD student in Computer Science based in Boston with nine years of experience applying machine learning, data engineering, and scientific computing across energy, telecom, finance, retail, manufacturing and space-science domains. He combines strong physics training (BSc and MSc) with an MS in CS to tackle real-world noisy time-series and anomaly-detection problems as a graduate researcher while contributing to NASA-related work. His industry roles span senior data science and engineering positions where he built NLP pipelines for contract extraction, demand forecasting for retail, automated ML-driven QA and ETL testing in financial products, and automated big-data workflows with Airflow. Comfortable moving between research and production, he has a track record of turning domain-specific signals into deployable systems and documentation for HPC and facility users. Notably, his background in experimental and theoretical physics informs a quantitative, simulation-oriented approach to ML system design and robustness.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science (B.Sc.), Physics (Honours), Bachelor of Science (B.Sc.), Physics (Honours) at Presidency University, Kolkata
Junior School, Junior School, Junior School, Junior School at St. Lawrence High School Kolkata
UMBC
Indian Institute of Technology Madras
Middle School, High School, ICSE, ISC, Science (Physics, Chemistry, Mathematics), Computer Applications(ICSE), Biology(ISC), Middle School, High School, ICSE, ISC, Science (Physics, Chemistry, Mathematics), Computer Applications(ICSE), Biology(ISC) at St. James' School (Kolkata)
Master of Science (MS), Computer Science, Master of Science (MS), Computer Science at University of Colorado Boulder
English, Hindi, Bengali