About me
I enjoy connecting machine learning research to useful software, from data preparation to the interface people use. My projects have taught me to check data leakage, compare meaningful baselines, and document where a system falls short.
How I work
Check for leakage
DiaFoot.AI's training-data composition study keeps its split and leakage records alongside the results.
DiaFoot.AI case studyUse meaningful baselines
CTPPO is measured against CVSS-based prioritisation on synthetic networks, with each experiment's denominator stated.
CTPPO case studySay where it falls short
NeuroScope 3D reports one dated evaluation on 74 cases and separates my training and evaluation work from the team's.
NeuroScope 3D case studyConnect models to useful software
In my research assistant role I built a pipeline that prepares regulatory documents for retrieval, and I am co-developing a tutor prototype with Om Patel.
Research assistant role
Education
Northeastern University
M.S. in Applied Artificial Intelligence
GPA 4.0 / 4.0
Sep 2025 – May 2027 (expected)
Sathyabama Institute of Science and Technology
B.E. Computer Science, AI specialization
Chennai, India
Aug 2021 – May 2025
Recognition
AI Innovation Award
Lahey Clinic Care-AI-thon
Awarded to our team for BreatheWell, a lung-screening eligibility and outreach concept.
Read the Northeastern featureFinalist
Subconscious AI × ACM Hackathon
Built backend tools and agent integrations for a blood-report analysis prototype.
Explore the project