Atharva Shirke is a software engineer with nine years of experience focused on computer vision and cloud-native ML systems, currently building off-road autonomous vehicles at Applied Intuition. He has designed and scaled production AI/ML infrastructure at Walmart Global Tech, including synthetic data pipelines using Blender and Unreal Engine 5 and benchmarking tools that improved reliability across thousands of stores. At ezML he applied zero-shot models and ensemble strategies to deliver object detection improvements without additional training, demonstrating a pragmatic approach to model deployment. A Berkeley Data Science graduate with a quantitative social science emphasis, he pairs technical depth with a humanist perspective and broad extracurricular interests. Colleagues describe him as someone who bridges research and production—turning experimental vision models into scalable, maintainable systems. Based in California, he’s open to connecting over shared technical and interdisciplinary interests.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Arts - BA Data Science, Bachelor of Arts - BA Data Science at University of California, Berkeley
High School Diploma, High School Diploma at Dougherty Valley High School
A web app that provides Spotify users with their top artists & songs year-round. Built with Node.js, Express.js, MongoDB, and HTML/CSS + Bootstrap
Contributions:5 pushes, 1 issue in 3 years
expressmongoosemongodbbootstrap-csscss
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