Summary
Sumit Keswani is an Applied Scientist with a decade of experience building vision and language AI systems, currently advancing personalized, adaptive learning experiences for AWS Skill Builder. He has a strong track record taking multimodal GenAI from research to production—scaling document automation pipelines, enabling few-shot workflows, and delivering investment-aware conversational agents at enterprise scale. Previously at Fidelity and Amazon, he combined distributed engineering (PySpark, TensorFlow/Keras) with data-labeling and deployment practices to operationalize complex models. His research focus on Safe AI informs practical guardrails and ethics evaluation for multimodal systems, a perspective he pairs with hands-on engineering. Trained in computer perception and robotics at Georgia Tech, he brings both academic rigor and product-minded delivery to high-impact AI products.
10 years of coding experience
2 years of employment as a software developer
Masters in Computer Science, Specialization: Computer Perception and Robotics, Masters in Computer Science, Specialization: Computer Perception and Robotics at Georgia Institute of Technology
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Indraprastha Institute of Information Technology, Delhi
English, Hindi