Software Engineer · Systems & Intelligence
I build full-stack software and intelligent systems end to end — from clean APIs to interfaces people actually use.
A second-year Integrated M.Tech engineer who treats building as a daily practice.
I read Software Engineering at VIT Vellore at a 8.87 CGPA, but most of what I know I learned by shipping — a CRM platform now used inside a corporate foundation, a chest-X-ray classifier with its own explainability method, and stateless ML web apps built for speed. I work full-stack, close to the data, and I keep my claims honest.
A stateless AI web application with dynamic data-sampling capped at 10,000 rows — cutting server RAM by ~85% and holding sub-2-second response times for ML operations.
Automated ML pipelines (Random Forest, K-Means) accelerate exploratory data analysis roughly 10×, with insights rendered live through interactive Chart.js dashboards.
A medical-imaging app classifying chest X-rays into COVID-19, Pneumonia and Normal across 11,500+ images — reaching 94.7% AUC on CPU-only hardware.
Adds a novel Bilateral Lung Asymmetry Analysis: GradCAM heatmaps are split into left/right halves to score asymmetry, separating bilateral COVID patterns from bacterial pneumonia.
VI · Summon