Suraj Gattani is a Senior AI Engineer with eight years of experience applying machine learning and deep learning to drug discovery and bioinformatics, currently driving AI initiatives in Los Angeles. He has advanced work in ADME property prediction and AutoML at Schrödinger, and previously improved cancer-focused models by up to 40% using transfer and multitask learning while productionizing training on AWS SageMaker. His background blends academic research—MS in Computer Science with published work on protein binding and NASA risk forecasting—with hands-on engineering, including packaging antibody-model libraries and building automated forecasting plugins. Colleagues describe him as a practitioner who moves models from novel architectures to reproducible tooling, and he frequently combines domain biology insights with pragmatic software delivery to accelerate translational impact.
8 years of coding experience
9 years of employment as a software developer
Bachelor of Engineering - BE, Electronics and Telecommunication Engineering, Bachelor of Engineering - BE, Electronics and Telecommunication Engineering at Savitribai Phule Pune University
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of New Orleans
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Suraj Gattani - Senior AI Engineer at Infocusp Innovations