Computer & Data Science
NLP, Machine Learning, Data Engineering, Analytics
Context & Philosophy
I come at this from data science and software engineering training, and years of machine-learning and data-engineering work. To me, computer science is a branch of applied mathematics, and data science and statistics are close cousins of mathematics, so my focus is on the mathematical theory with the most direct application in Computer Science and Quantum Computing.
Machine learning and statistical learning are the foundations under NLP, large language models, and generative AI, and that is how I think they are best understood and used: as tools built from fundamentals you can actually follow, judged on their methods and evidence rather than the hype around them.
The Overlap
That framing is why there's a decent amount of overlap between these sections: in the math & quantum section I am primarily interested in theory (the why), whereas here I am focused on application.
Past Affiliations
Iowa State
Senior design team, Aug 2024 – May 2025. Explainable AI For Source Code Applications
Mentors & References
Dr. Ali Jannesari (ISU Computer Science; explainable AI / ML) was the client and an advisor on this project, and I contributed to other research of his; Arushi Sharma was the project's advisor of record. Separately, Dr. Simanta Mitra (ISU CS teaching professor) mentored me through course and apprenticeship projects building applications for real clients.