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.
11 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
Stackoverflow
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Github Skills (15)
latex10
data-science10
machine-learning9
ai-ml6
huggingface-transformers6
nlp6
virtual-environment6
confluent-platform6
apache-kafka6
amazon-ec26
aiml6
sentence-transformers6
text-classification6
python6
natural-language-processing6
Programming languages (8)
C++CSSSWIGTeXVueJupyter NotebookRich Text FormatPython
Open-sourced course notes for Artificial Intelligence and Data Science related topics, prepared in LaTeX
Role in this project:
Technical Writer
Contributions:2 reviews, 605 commits, 78 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.
Python samples of the programs given in the book Nature Of Code.
Contributions:1 review, 1 PR, 5 pushes in 3 years 3 months
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