Building at the intersection of data and design β 99% accurate ML pipelines, premium full-stack apps, and AI-powered experiences using Gemini LLMs.
I'm Rishabh Chaubey, a B.Tech CSE student at Lovely Professional University (CGPA: 7.7) with a passion for building systems that sit at the edge of AI, data, and beautiful user experiences.
From shipping a 99% accurate ML pipeline for 230+ auto manufacturers to building a Gemini-powered AI stylist β every project starts with a problem worth solving.
Predictive ML pipeline for 230+ auto manufacturers. Bagging Classifier achieves 99% accuracy. K-Means clustering with Silhouette 0.85 β beats all baselines.
Interactive Power BI dashboard visualizing 3,800+ transactions. YoY comparison, quarterly trends, payment method breakdown and MTD reporting.
Premium sneaker store with custom REST API, 30% load boost via query optimization, secure Django session auth, and mobile-first UI. Deployed on Vercel.
AI virtual stylist powered by Google Gemini LLM. Real-time outfit recommendations across Women's, Men's, Streetwear and Luxury. Save trends, chat history, and light/dark mode.
Gamified competitive quiz platform with low-latency scoring engine and scalable MySQL schema. Supports Django, React, Python, CDS and Full-Stack tracks with leaderboard.
Open to internships, freelance, and full-time roles. Always excited to collaborate on AI, ML, and full-stack challenges.
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