Standing Rank
Rank Not Available
Developer Badges
Badges Pending
Skills & Technologies
35 skillsWork Experience
Research & Development Intern
Defence Research and Development Organisation (DRDO)
- Developed CarbonCompanion — an AI-powered carbon footprint platform (React, Node.js, MongoDB, TensorFlow, Scikit-learn) serving 1,000+ concurrent users at 99.7% uptime; trained Random Forest and regression models achieving R2=0.87 and 8.5% MAPE, 15% above baseline.
- Built K-means user segmentation (5 clusters) driving 18% avg. emission reduction and 78% recommendation adoption (vs. 45% control in A/B test); 85% week-1 retention with 92% task completion rate.
- Hardened REST APIs with JWT auth and MongoDB composite indexing, cutting query latency from >200ms to 40ms; sustained p95 response at 145ms under 500 req/sec peak load with 95% test coverage.
Projects
EcoEducator
View Project- Built EcoEducator — a B2B edtech platform for schools with a child-safe Gemini AI EcoCoach (age-appropriate prompt constraints), Google Maps commute CO 2 calculator across travel modes, and Recharts CO 2 dashboards; two-role system (Teacher/Student) via Firebase Auth + Firestore real-time leaderboards.
- Engineered a gamified EcoXP reward engine (badges, leaderboards, tree-planting redemption) with class code join flow and teacher dashboard; designed for B2B school subscription + partner brand sponsorship revenue model; WCAG 2.1 AA compliant UI scoring 91 on Lighthouse.
Mazer — AI Beat Studio
View Project- Built a research-backed AI beat studio where natural-language prompts generate 16-step drum patterns via Llama 3.1 (OpenRouter); synthesized kick, snare, hihat, and melodic instruments (piano, bass, synth pads C4–C5) from scratch using DSP oscillators and envelopes — zero sample file dependencies.
- Engineered a lookahead-scheduled Web Audio API engine with swing control, per-instrument volume mixing, and BPM presets; beats persisted per user via Firebase Firestore; model-swappable LLM architecture; co-authored published paper on constructivist AI music pedagogy (VIPS-TC, 2025).
BusyBuy — E-Commerce Platform
View Project- Assembled a production-grade MERN e-commerce platform with Redux Toolkit managing 8+ global state slices across cart, authentication, product catalog, and order tracking workflows.
- Developed 12 RESTful API endpoints with Express.js and implemented server-side pagination, reducing initial payload size by 60% and improving first contentful paint by 1.2s.
SEO Tag Scanner
View Project- Engineered a Next.js SEO auditing tool in TypeScript inspecting 30+ metadata signals: Open Graph tags, JSON-LD structured data, canonical URLs, and Core Web Vitals indicators; static generation and incremental data-fetching achieved Lighthouse SEO score of 98 and TTFB under 180ms in production.
Leaderboard Standings
Leaderboard Position Pending
Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.
Assessment Highlights
Assessments Not Completed
Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.
AI Collaboration Score
AI Collaboration Score Pending
Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.
Role Compatibility Profile
Role Compatibility Analysis Pending
Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.
Achievements
Published Paper
Co-authored published paper on constructivist AI music pedagogy (VIPS-TC, 2025).
About Details
Professional Bio
AI & Data Science student with experience in full-stack development and machine learning. Skilled in building scalable AI-powered platforms and optimizing backend performance. Passionate about creating impactful, user-centric web applications.
B.Tech in Artificial Intelligence & Data Science in Artificial Intelligence & Data Science
Guru Gobind Singh Indraprastha University (GGSIPU) (2023 - 2027)