Akshat Bhat is an ML engineer with nine years of experience building production-grade software, data pipelines, and computer vision systems across finance, healthcare, and manufacturing. He recently drove a YOLO-based automated vision inspection at Kohler achieving 93% mAP and expanded training data by 80% using OpenCV and Stable Diffusion inpainting, showing a blend of classical CV and generative methods. At UBS he engineered Azure/Spark big-data pipelines and features that halved batch runtimes and supported regulatory reporting, demonstrating strong cloud and scalable data-processing chops. His work at the University of Illinois applied consolidated multi-dataset pipelines to behavior analysis for livestock health, reflecting an ability to translate ML into domain impact. A polyglot developer (JS, Ruby, Python) with top academic performance and a hands-on mindset, he combines research-quality rigor with pragmatic engineering to ship reliable, monitored systems.
9 years of coding experience
3 years of employment as a software developer
Grade 12 HSC, Science, 95.23%, Grade 12 HSC, Science, 95.23% at PACE Junior Science College, Andheri
Grade 10 ICSE, 98.17%, Grade 10 ICSE, 98.17% at CNM School - India
Bachelor of Technology - BTech, Computer Engineering, 9.66/10, Bachelor of Technology - BTech, Computer Engineering, 9.66/10 at Bhartiya Vidya Bhavans Sardar Patel Institute of Technology Munshi Nagar Andheri Mumbai
Master's degree, Computer Science, 4.0, Master's degree, Computer Science, 4.0 at University of Illinois Urbana-Champaign
Contributions:10 PRs, 78 pushes, 9 branches in 1 month
github-classroomdive
Find and Hire Top DevelopersWeโve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.