Yogesh Kulkarni is an AI advisor and PhD in Geometric Modelling with over two decades of experience in CAD software R&D and more than a decade focused on AI, ML/DL, NLP and generative models. He blends deep academic rigor with product-facing engineering leadership—from shipping geometry and CAD features at Autodesk and Siemens to architecting ML solutions for legal NLP at Icertis. As founder of the Pune AI Community and an adjunct professor, he translates complex AI concepts into hands-on training and community programs, and his TeachingDataScience LaTeX materials reflect a long-running commitment to education. He advises organizations on strategy and capability building rather than delivery, preferring engagements that amplify in-house teams and foster mutual learning. A TEDx speaker and recognized Google Developer Expert, he pairs practical industry impact with research output and public outreach.
10 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Mechanical Engineering, Doctor of Philosophy (Ph.D.) Mechanical Engineering at COEP Technological University
PGDBM Post Graduate Diploma in Business Management (Part-Time), PGDBM Post Graduate Diploma in Business Management (Part-Time) at Symbiosis Institute of Management Studies
SSC Science, SSC Science at Sou Vimlabai Garware High School
HSC Science, HSC Science at Sir Parashurambhau College - India
MS Mechanical Engineering, MS Mechanical Engineering at Kansas State University
HSC Science Mathematics Sanskrit, HSC Science Mathematics Sanskrit at Bal Shikshan Mandir
Certificate in Management (Part Time) Design Patterns, Certificate in Management (Part Time) Design Patterns at Harvard Extension School
Course notes for Data Science related topics, prepared in LaTeX
Role in this project:
Technical Writer
Contributions:1 review, 605 commits, 64 PRs in 3 years 8 months
Contributions summary:Yogesh's contributions primarily involve creating and adding presentation materials, including diagrams, for the "teachingdatascience" repository, with commits focused on adding and organizing LaTeX files related to various data science topics. The commit messages consistently highlight the addition of presentation slides on topics like AI/ML and the structure of lectures and course material. These contributions focus on enhancing the repository's educational content through the use of LaTeX.
Computation of Midcurve of Thin Polygons using Neural Networks
Contributions:5 reviews, 134 commits, 12 PRs in 3 years 7 months
computationpolygonsneural-networksthinjulia
Find and Hire Top DevelopersWe’ve 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.