Summary
Prajwal Kailas is a data scientist with 10 years of experience building clinical ML systems that bridge NLP, time-series, and multimodal signals to deliver measurable healthcare impact. At Brigham and Women’s Hospital he has led projects from a de-identification model that set strong benchmarking results to smartwatch and ECG-driven pipelines for detecting aortic stenosis and quantifying patient resilience. His work spans contrastive language models aligning clinical text with diagnostic codes, self-supervised multimodal phenotype discovery, and high-performing PHI scrubbers—demonstrating both research rigor and production-minded engineering. A Northeastern MS graduate (4.0) whose thesis studied linguistic drivers of misinformation, he brings uncommon fluency across language, imaging, and biosignal domains. Known for practical problem-solving, he pairs strong academic foundations with deployed solutions that save time, reduce risk, and elevate care.
10 years of coding experience
2 years of employment as a software developer
11th - 12th Grade, ISC (Physics, Chemistry, Maths, Computers), 11th - 12th Grade, ISC (Physics, Chemistry, Maths, Computers) at Vidya Niketan School
Preliminary School, Middle School, High School, ICSE, Preliminary School, Middle School, High School, ICSE at Vidyashilp Academy
Master of Science - MS, Computer Science, 4.0, Master of Science - MS, Computer Science, 4.0 at Northeastern University
Bachelor of Technology (BTech), Computer Science, Bachelor of Technology (BTech), Computer Science at National Institute of Technology Karnataka
English, Kannada, Hindi