I'm a first-year B.Tech CSE (AI/ML) student from India who builds things — not just as assignments, but as production-grade products. My work sits at the intersection of machine learning, computer vision, and full-stack development. I care about shipping complete, working systems, not just prototypes.

• 🎓 B.Tech Computer Science & Engineering — AI/ML specialization
• 🔭 Currently building: face recognition systems, real-time data dashboards, and AI-powered web apps
• 🌱 Learning: Deep Learning, Computer Vision pipelines, Redux architecture, and scalable React patterns
• 🤝 Open to: AI/ML internships at product-first startups
• 📍 Based in India

Languages

AI / ML

Frontend & Frameworks

Tools & Databases

Real-time face recognition attendance system built with OpenCV and DeepFace (FaceNet model)

• Migrated from LBPH to deep learning pipeline for significantly higher accuracy
• Frame quality validation (brightness + blur checks) before recognition
• Non-blocking uploads via threading; full dashboard with analytics and heatmaps
• Stack: Python · DeepFace · OpenCV · Flask · React

Production-grade real-time air quality monitoring dashboard

• Live data via WeatherAPI with custom useDebounce and useAutoRefresh hooks
• React Router v6 navigation with Context API for global state
• AQI-based conditional UI, auto-refreshing feeds, and responsive layout
• Stack: React · Context API · WeatherAPI · React Router v6

• AsusFanControl — Contributed to an open-source fan control utility for ASUS hardware on Linux/Windows

• 📐 Deep Learning fundamentals (CNNs, transformers, attention mechanisms)
• ⚙️ Scalable React patterns — Redux Toolkit, advanced hooks, performance optimization
• 🧠 Computer Vision pipelines for production environments
• 🔗 Building full-stack AI products end-to-end