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
2 years of employment as a software developer
Bachelor's degree, Mechanical Engineering, Bachelor's degree, Mechanical Engineering at Easwari Engineering College
Master’s Degree, Engineering/Industrial Management, Master’s Degree, Engineering/Industrial Management at Northeastern University
Telugu, Hindi, Tamil, English