Nitya Narasimhan
New York, United States
Summary
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Rockstar🎓
Top SchoolNitya Narasimhan is a PhD-trained polymath and software engineer based in New York with over a decade of hands-on industry and academic experience spanning distributed and ubiquitous computing, mobile/web, cloud, and AI. He blends research rigor with practical engineering, contributing to Microsoft’s popular "Generative AI for Beginners" repo through full‑stack notebooks and prompt engineering examples that help practitioners onboard quickly. As an educator, illustrator, and community builder, he communicates complex ideas clearly and creates usable demos and docs rather than only theoretical work. His background bridges startups and larger organizations, allowing him to move seamlessly between prototyping research ideas and production implementations. Notably, he combines deep systems knowledge with creative tooling—something reflected in interdisciplinary projects that mix code, visuals, and pedagogy.
12 years of coding experience
University of California, Santa Barbara
Stackoverflow
161reputation
20kreached
1answer
0questions
Github Skills (12)
prompt-engineering10
jupyter-notebook10
gpt10
generative-ai10
python10
language-model9
apic8
api8
apim8
integrations8
webstorm6
angularjs6
Programming languages (20)
Github contributions (5)
microsoft/generative-ai-for-beginners
Oct 2023 - May 2024
21 Lessons, Get Started Building with Generative AI
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:10 PRs, 5 comments in 6 months
Contributions summary:Nitya's commits primarily focus on setting up and configuring the environment for the "Generative AI for Beginners" repository, adding example code and documentation for prompt engineering concepts. They have added and updated example code snippets within Jupyter notebooks, utilizing libraries like OpenAI's and tools like `tiktoken`. The changes include integrating OpenAI API key setup, examples, and code comments, demonstrating a focus on practical implementation of prompt engineering techniques.
generative-aiaichatgptdall-egenerativeai
microsoft/30daysof
Aug 2022 - Oct 2022
30 Day of Learning Resources, Samples and Curricula
Contributions:79 commits, 7 PRs, 81 pushes in 2 months
data-scienceserverlessstaticwebappdaylearning-resources
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