Summary
Shankar Kantharaj is a data scientist with 8 years of experience building production ML and NLP systems across healthcare, finance, and manufacturing. He has led teams to deliver generative AI platforms and document verification systems at Johnson & Johnson and built a patented predictive model for Dell’s manufacturing line that saved thousands of labor hours. His work spans end-to-end ML: model development, deployment on cloud and edge, annotation tooling, and monitoring for intent/NER and data drift. Academically active, he has multiple peer-reviewed publications including an ACL-2022 paper on chart summarization and ongoing submissions to EMNLP and ICML. Comfortable bridging research and product, he has a track record of turning novel algorithms into funded, deployable solutions such as a state-funded robotic arm and an automated attendance CV system. Based in Irving, Texas, he aims to scale impactful AI systems that improve operational efficiency and safety across industries.
8 years of coding experience
4 years of employment as a software developer
DSML Computer Science, DSML Computer Science at Scaler
Master of Science - MS Computer Science, Master of Science - MS Computer Science at York University
Bachelor of Engineering - BE information science, Bachelor of Engineering - BE information science at BMS Institute of Technology and Management