Summary
Sarangan Ravichandran is a Senior AI/ML Data Scientist Lead with nine years of focused experience applying bioinformatics, computational biology, and real-world evidence methods to healthcare and drug discovery. He blends PhD-level molecular modeling expertise with hands-on AI, NLP, and data engineering (R, Python, SQL, BERT, shell) to design retrospective RWE studies, drug repurposing pipelines, and production-ready analytic tools. At Leidos he leads teams that translate technical innovations into winning proposals and internal research while previously contributing to ATOM in silico drug discovery and structural biology. An adjunct faculty member who designed and teaches computational genomics and bioinformatics courses, he pairs academic rigor with practical productization—recently broadening cloud, MLOps, and generative AI skills through multiple nanodegrees. Notably, he combines legacy Fortran-based computational work with modern ML stacks, enabling cross-generational reproducibility and novel translational analyses.
9 years of coding experience
10 years of employment as a software developer
AWS Certified Cloud Practitioner, AWS Certified Cloud Practitioner at AWS
Doctor of Philosophy (Ph.D.) Molecular Modeling , Doctor of Philosophy (Ph.D.) Molecular Modeling at Indian Institute of Science (IISc)
Nanodegree Program Introduction to Machine Learning with PyTorch, Nanodegree Program Introduction to Machine Learning with PyTorch at Udacity
English, Tamil