Maverick Local Assistant
An offline, speech-operated productivity agent built on lightweight neural networks. Hooks into the native OS to execute terminal commands, read system vitals, and control media play states.
I build high-performance backend infrastructure, data analytics tools, and AI-driven applications.
I'm a Computer Science undergraduate at UPES (Class of 2029) drawn to the quieter corners of software — the systems, the protocols, the parts that hum reliably under load. My focus is backend infrastructure, data tooling, and the security boundaries that hold it all together. I'm certified in Fraud Detection and Security by IIT Delhi (via Enactus), and I'm steadily building toward a career in cyber-security engineering.
Outside the terminal I'm a member of the SPHURIT Sports Committee at UPES, a cricketer, a former Kidzania Council member, and a photographer who treats the viewfinder the way I treat a code editor — composition first, then the details. I like work that demands precision and rewards taste.
A small set of things I've shipped, prototyped, or am actively iterating on.
An offline, speech-operated productivity agent built on lightweight neural networks. Hooks into the native OS to execute terminal commands, read system vitals, and control media play states.
An AI-driven emergency response system that optimizes ambulance routing in real time. Fuses live traffic data with predictive modeling to cut critical transit times by an estimated 30–40%.
An all-in-one disaster-education app that makes safety training engaging, accessible, and practical. Combines lessons, drills, and quick-reference guides in a single mobile-friendly experience.
A lightweight expense tracker that behaves like a personal ledger — quick entry, clear categories, and instant balances. Built in Python for fast daily use without the overhead of a full finance app.
A snappy movie discovery interface that surfaces top-rated films and supports instant search. Designed as a clean front-end playground for fast, keyboard-friendly browsing.
A focused scoring companion for casual cricket matches — track runs, wickets, overs, and partnerships without the noise. Built for quick sideline updates during play.
A small utility that helps college students track attendance and calculate how many classes they can safely skip. Clean, single-page, and built to answer one question fast.
A disciplined, daily log of data-structures-and-algorithms practice in C. A growing reference of clean, commented solutions covering arrays, recursion, trees, graphs, and more.
Where I've spent my hours so far.
Leading PR and sponsorship outreach for university-level sporting initiatives.
Researched live events, analyzed match statistics from Sofascore and goal.com, and authored data-driven match reports.
Coursework in Python, C, data structures, and systems programming.
Science stream with focus on mathematics and computer science.
Have an interesting systems problem, a research idea, or a project that needs a second engineer? I'd love to hear about it.