Sai Karan Reddy
Data Scientist
I build machine learning systems and data products by following questions that are worth staying with.
I am a data scientist with more than five years of experience across predictive modeling, anomaly detection, NLP, large-scale data pipelines, and production machine learning.
My work has taken me from hardware reliability to financial risk, but the question has always been the same—how can data help us understand complex systems a little earlier and a little better? Outside work, I have followed smaller questions through computer vision, language, education, web systems, and data engineering.
My education gave me two complementary ways of thinking: the discipline of computer science fundamentals, and the freedom to explore how those foundations can become working systems.
Master of Science
Clark University · Worcester, Massachusetts
Graduate study gave me room to move between theory and implementation. Projects in computer vision, machine learning, distributed data processing, and full-stack systems helped me see how separate technical ideas become one complete product.
Bachelor’s Degree
GITAM University · Hyderabad, Telangana
My undergraduate years built the foundation I still return to: programming, algorithms, databases, and software design. More importantly, they taught me to break a difficult problem into smaller questions and keep working until the structure becomes clear.
Industry
AMD
Telemetry, failure prediction, anomaly detection, LLMs, retrieval systems, and production MLOps.
Read the full story ↗JPMorgan Chase
Credit risk, AML, fraud networks, explainability, deployment, and governed machine learning at scale.
Read the full story ↗Curious Builds
I am also interested in where these ideas can travel next from human-centered AI and education to emerging healthcare applications. These are directions I want to explore honestly, not claims about work I have already completed.
Every project on this website began with a question.
Whether it's research, engineering, or simply an idea worth exploring, I'd be glad to continue the conversation.
Continue the conversation ↗