Here's a little background
I grew up convinced the most interesting problems are the ones nobody has cracked yet. That conviction pulled me toward AI — not the hype, but the genuine possibility of building systems that reason and create real value. I completed my MS in Artificial Intelligence at Boston University with a 4.0 GPA, while simultaneously doing research and teaching ML to graduate students.
Before grad school, I spent three years at LTIMindtree as a Senior Data Engineer building NLP pipelines that cut manual workloads by 60%, and a year at Rapid Acceleration Partners as a Senior ML Engineer where my work helped secure major enterprise contracts.
I'm currently doing applied ML research at Amazon in Seattle. I'm equally comfortable reading a transformer paper on a Friday night and deploying a model on Monday morning.
Applied Scientist Intern
Amazon · Creative X
Dec 2025 – Present · Seattle, WA
- Conducting research in applied machine learning within the Creative X team.
- Collaborating with senior scientists on developing and evaluating models at production scale.
- Working at the intersection of NLP and large-scale intelligent systems.
Research Assistant
BU GDP Center — DATA Team
May – Dec 2025 · Boston, MA
- Architected deep learning pipelines for the source library tool, automating policy research workflows.
- Deployed LLM-backed agentic systems using Ollama and vLLM, significantly reducing analyst effort.
Graduate Teaching Assistant
Boston University
Jan – May 2025 · Boston, MA
- Supported CS 542 (Machine Learning) and CS 541 (Applied ML) — two of BU's most demanding graduate courses.
- Led lab sessions, guided students in core ML concepts, and coordinated exams.
Senior ML Engineer
Rapid Acceleration Partners
Sep 2023 – Aug 2024 · Chennai, India
- Built a complaint-analysis AI for Hussmann (Panasonic) correlated to serial number data, enabling a major enterprise engagement.
- Designed medical AI for VirtueServe: ICD code mapping and clinical summaries, cutting scribing time by 70%.
- Developed voice analytics models eliminating 100+ hours of processing per cycle.
Senior Data Engineer
LTIMindtree
Oct 2020 – Aug 2023 · Bangalore, India
- Built NLP pipelines for IT ticket mining, reducing manual effort by 60%.
- Designed auto-tagging systems with Sentence Transformers, improving categorisation speed by 40%.
- Received the Einstein Award and Beacon Exemplar Award for technical excellence.
← scroll for more →
I've built production systems across the full ML stack — from fine-tuning large language models to shipping APIs that scale.
Let's build something together
Get in touch.
Whether you want to discuss a role, a research problem, or an AI project — my inbox is always open.