Ambuj Pawar is a Machine Learning Engineer with a decade of experience specializing in computer vision and predictive ML, currently developing downtime-prevention models for ASML lithography systems. He progressed from building billboard detection and change-detection Siamese networks at Cyclomedia to production-focused predictive maintenance work, blending research-grade CNN expertise with API design and team-level stewardship as a former scrum master. Trained in Embedded Systems (MSc, TU/e) with a BTech in Electronics, he pairs low-level hardware intuition with modern ML pipelines—an unusual edge for production CV applications. Based in Eindhoven, he keeps a finger on emerging AI trends while balancing a keen interest in sports like tennis and squash, and shares his projects and demos on ambujpawar.github.io.
9 years of coding experience
2 years of employment as a software developer
Master's degree, Embedded Sytems, Master's degree, Embedded Sytems at Eindhoven University of Technology
Bachelor of Technology (B.Tech.), Electronic and Communications Engineering Technology, 8.09, Bachelor of Technology (B.Tech.), Electronic and Communications Engineering Technology, 8.09 at National Institute of Technology Surat
10th Class: Indian Certificate of School Education, 91.8%, 10th Class: Indian Certificate of School Education, 91.8% at Ann Mary School
12th class: Central Board of Secondary Education, 91.00%, 12th class: Central Board of Secondary Education, 91.00% at Doon International School
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Contributions:43 pushes, 8 branches in 4 months
polarspythondatalabeled-datamanipulation
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