Yug Johri - Entrepreneur | ContraWork by Yug Johri
Yug  Johri

Yug Johri

Full Stack & AI Engineer · Building intelligent systems

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Cover image for Vyoum — Web Development Agency
Built
Vyoum — Web Development Agency Built and launched Vyoum, an independent web development agency focused on designing fast, modern, and conversion-focused websites for startups, creators, and businesses. Led end-to-end client delivery — from UI/UX design and frontend development to deployment and optimization — while building scalable, production-ready web experiences using React, Next.js, TypeScript, and modern cloud tooling. → Designed responsive business websites with clean UI systems and performance-first architecture → Built scalable frontend systems using React, Next.js, Tailwind CSS, and TypeScript → Delivered SEO-friendly, mobile-optimized websites focused on conversion and user experience → Managed complete deployment workflows, domain configuration, and production hosting → Worked directly with clients on branding, feature planning, revisions, and product execution Tech Stack: Next.js · React · TypeScript · Tailwind CSS · Node.js · Vercel · MongoDB
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Cover image for Project: Udyam Saathi — MSME
Project: Udyam Saathi — MSME Government Scheme Discovery Platform 3rd Place at IIT Roorkee ProdG Hackathon. Built end-to-end under sprint conditions — a full-stack platform that helps small business owners discover relevant government schemes based on their business type, size, and category. Designed an eligibility-based filtering engine connected to REST APIs for dynamic, real-time scheme recommendations. Tech: React · Node.js · REST APIs · MongoDB Role: Solo — system architecture, frontend, backend, API integration, demo delivery Award: 3rd Prize · IIT Roorkee ProdG Hackathon
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Cover image for Project: Fraud Detection & Actionable
Project: Fraud Detection & Actionable Insights — Tableau Dashboard An interactive analytics dashboard analysing 968,000+ financial transactions to surface high-risk fraud patterns. Key outputs: $249K in preventable losses identified, 0.08% high-risk rate mapped, and IP/velocity contribution breakdowns visualised. Built with dynamic Risk Score and Category filters for self-serve drill-down analysis by non-technical stakeholders. Tech: Tableau · Data Analysis · Business Intelligence Role: Solo analyst — data wrangling, dashboard design, insight extraction
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Cover image for Project: Sentinel — AI-Based Local
Project: Sentinel — AI-Based Local File Cleaning Platform A cross-platform desktop application built with Tauri + Next.js (TypeScript) and a FastAPI backend. Integrated local LLMs (Ollama) for on-device, privacy-first AI file classification — zero data leaves the machine. WebSocket integration enables real-time processing feedback with zero UI lag. Implementing a RAG-based retrieval pipeline for improved classification accuracy across diverse file types. Tech: Tauri · Next.js · TypeScript · FastAPI · Ollama (local LLMs) · WebSockets · RAG Pipeline Role: Solo developer — architecture, AI integration, frontend, backend
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