Trinav Bhattacharyya

Software Engineer · Distributed Systems · Low-latency Systems · Web development · Machine Learning

I am a Software Engineer with 3+ years of experience at Amazon Web Services' Aurora Storage team, collaborating on reliability-critical distributed and low-latency database systems. Working for the market leader in cloud-native relational databases, I was part of a full-service team responsible for developing features while maintaining them in real-time via taking part in production on-calls. I have experience solving real-time customer issues of both enterprise clients such as Disney, Netflix, Razorpay, etc., and other AWS customers.

With AI complementing Software Engineers in debugging code and writing test cases, it was imperative to learn the fundamentals of AI, LLMs & ML, how they interact with underlying systems and complement developers in the future. With this in mind, I am currently pursuing a Master of Science in Computer Science at Columbia University, New York with an expected graduation in December 2026. With courseworks in AI, ML, NLP, Advanced C++, Discrete Math, Databases, Security & Privacy, and Algorithms, I am specializing in Machine Learning and Artificial Intelligence.

My current research at Columbia is at the intersection of AI and Privacy. I am developing a comprehensive compliance benchmarking software for both contemporary and upcoming LLMs to build user trust and ensure adherence to global Privacy and AI laws. The goal is to increase trust in LLMs and make sure that language models strictly comply with FIPPs and OECD privacy laws. With the EU and US state AI laws mandating strict privacy compliance and regulation of AI systems in making critical decisions, the work focusing on Explainable AI (XAI) bridges the power of AI and the reasonable expectation of privacy.

My interests include low-latency systems, databases, web & app development, security & privacy, and applied machine learning.