Summary
Krishna Aswani is an Applied Scientist with 11 years of experience building computer vision and ML systems, currently developing agentic architectures for Amazon’s Glow team in San Jose. He combines deep vision expertise—from aerial imagery segmentation at Verisk to production ML at Amazon—with a strong foundation in data science and automation, having built tooling that generates hundreds of models for non-experts. His background spans academia and lab research (including work with Sir Roger Penrose and instrumentation at NIMS, Japan), reflecting a rare mix of mathematical modeling, hardware interfacing, and practical ML engineering. Comfortable shipping end-to-end solutions, he also holds a Udacity Self-Driving Car Nanodegree and an MS in Data Science from UVA, which inform his applied approach to perception and autonomy. Notably, his career threads experimental microtubule measurement systems through large-scale vision products, revealing an appetite for tackling both low-level measurement problems and high-level algorithmic challenges.
11 years of coding experience
7 years of employment as a software developer
Nanodegree Self Driving Car Engineer, Nanodegree Self Driving Car Engineer at Udacity
Bachelor of Technology (B.Tech.) Mechanical Engineering, Bachelor of Technology (B.Tech.) Mechanical Engineering at Indian Institute of Technology (Banaras Hindu University), Varanasi
Master of Science (MS) Data Science, Master of Science (MS) Data Science at University of Virginia
English, Hindi, Sindhi