Summary
Kishore Sampath is an AI researcher and applied scientist with eight years of experience building end-to-end ML systems and deploying data-driven applications, now pursuing an MS in Artificial Intelligence at Northeastern University. He has developed multimodal, multi-label clinical decision models combining radiology report generation, object detection, and MedBERT-encoded EHR data, and invented a heterogeneous bagging bias-mitigation approach that improved demographic parity by 6%. As a former full-stack data scientist at an IIT-Madras incubated startup, he delivered NLP and analytics products that cut processing time by 80% and boosted client productivity by 66%. He has taught AI foundations to 500+ students, created de-biasing and trustworthy-DL assignments, and currently researches membership inference attacks for genomics classifiers. Based in Palo Alto, he blends academic rigor with product-focused engineering and is actively seeking ML research roles starting May 2025.
8 years of coding experience
4 years of employment as a software developer
Master of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at Northeastern University
Bachelor of Technology - BTech Mechanical Engineering, Bachelor of Technology - BTech Mechanical Engineering at SRM IST Chennai
English, Tamil, Hindi