Data Science Student · AI & Backend Developer · architecting scalable, intelligent systems from research papers to production.
I design and ship intelligent backends - turning research-grade ideas into reliable, scalable products.
I'm Shubh Dwivedi - a Data Science student building production-grade AI and backend systems. I gravitate toward problems where intelligence, architecture, and real users intersect.
From RAG pipelines and agent workflows to REST APIs, auth, and database design - I treat every project like a startup product: shipped, measurable, and built to scale.
I've published research on AI accountability, led hackathon teams, and prototyped automation systems for real workflows. Currently exploring agentic AI and developer tooling.
A pragmatic stack - chosen for velocity, scale, and intelligent capability.
A handful of systems I've designed and shipped - each treated like a real product.
Full-stack women safety platform designed for instant emergency response, live location tracking, and fail-safe communication using Telegram alerts and scalable backend systems.
Privacy-focused AI image processing platform built with zero-retention architecture where uploaded images are never stored, reused, or used for training.
AI-powered accessibility analysis engine that scans websites, detects WCAG issues, and generates remediation suggestions for developers and editors.
AI-powered task management platform that transforms natural voice commands into intelligent task workflows with analytics, reminders, and productivity insights.
Interactive KBC-inspired AI quiz platform featuring real-time gameplay, dynamic scoring, immersive UI, and competitive leaderboard systems.
Cinematic AI-powered interactive horror experience inspired by Stranger Things using camera input, microphone activity, AI analysis, and real-time leaderboard systems.
Bridging engineering and academic thought on responsible AI systems.
A framework - RSIF (Responsible Sustainable Innovation Framework) - that redefines how early-stage AI companies should embed accountability across product, governance and lifecycle decisions.
Where I sharpen architecture instincts and team execution.
Open to internships, research collaborations, and ambitious product work.