
I'm a data scientist at ZS, working on agentic AI, LLM operations, and moving retrieval-augmented and evaluation-driven systems from prototype to production. Before that, I spent about a year and a half at Epsilon. I graduated from NIT Tiruchirappalli in 2024 and completed a diploma in Data Science and Programming from IIT Madras in 2025.
Dataware Academy is everything I build outside of that day job, brought under one roof: JEEnius, How Models Think, and a set of smaller projects.
Selected as part of the 4th cohort of the Amazon ML Summer School.
Designed a custom Levenshtein-distance algorithm for character-level OCR accuracy scoring, and processed unstructured PDF/image data into accuracy metrics and OCR tuning recommendations.
Researched an algorithm for insider threat detection, advised by Dr. R. Mohan, Dept. of CSE.
15 published articles on Python, web development, operating systems, and sentiment analysis.
Social Innovation Index and deep-tech applications in rural contexts.
Hybrid ML approaches for fake news detection, combining ensemble learning and an NLP framework.
Introductory Python course based on Stanford's CS106A.
Cybersecurity, insider threat detection, and detecting false information at scale, using text mining, sentiment analysis, and deep learning for text.