A predictive analytics platform for simultaneous multi-disease prediction from patient data, designed and built with Python, TensorFlow, and scikit-learn.
Improved prediction accuracy by 25% across a dataset of 10,000 patient records.
Four hackathon placements across applied AI, NLP, software analysis, and blockchain work.
01
IBM Z Datathon
1st place · Bangalore · international field of 3,000+ participants
Multi-level health analysis using medical-report data
Built
A health-analysis concept built around medical-report data and multi-level analysis.
Hiring signal
Applied problem framing and data-focused product thinking in a large competitive field.
02
Hack-A-League
1st place · national field of 200+ participants
Semantic Analyzer using NLP
Built
An NLP-based semantic analyzer for interpreting and comparing language-based content.
Hiring signal
Demonstrates practical NLP application, clear problem selection, and competition delivery.
03
Hackerrupt ’22
2nd place · national field of 300+ participants
Software Analyzer
Built
A software-analysis project developed for a national engineering competition.
Hiring signal
Demonstrates analytical software development under an outcome-driven deadline.
04
Fantom Code
3rd place · national field of 300+ participants
Inheritance of digital assets on blockchain
Built
A blockchain concept addressing inheritance and ownership of digital assets.
Hiring signal
Demonstrates comfort exploring emerging technical domains and translating them into a product concept.
Let's make something useful
Could I be of help to your team?
I'm looking for a team where care for the product and care for the implementation go together. If that sounds familiar, I'd love to talk.
Open to a conversation
Email · LinkedIn · Calendar
The journey
A few turns in the road.
Hover over a chapter to reveal the artifact behind it.
01
2020 — 2024
A foundation in computer science and community
Completed a B.Tech. in Computer Science & Engineering at Global Academy of Technology, while leading the Linux GNU club and organizing development sessions for fellow students.
Bangalore, IN
Photo: Jo Szczepanska / Unsplash
02
2021 — 2022
Learning what changes the product experience
At DHI, built a responsive React and Google Maps experience that increased engagement by 20%, while performance work reduced page-load time by 30%.
Bangalore, IN
Photo: Christian Brok / Unsplash
03
2024 — 2026
Computer science graduate study at SUNY Buffalo
Pursuing an MS in Computer Science while building a more focused body of work in product engineering and applied AI.
Buffalo, NY
Photo: Bernd Dittrich / Unsplash
Tools behind the work
Tools I work with.
A concise view of the technologies behind the work. Each one earns its place through real use, not keyword matching.