Full Stack Developer • AI/ML Builder • Co-founder at Prepzii
B.Tech in Computer Science & Engineering, Techno India University, Kolkata (2023–2027)

I am a software engineer and product builder focused on full-stack web platforms, retrieval-augmented AI systems, and responsive digital products.

As the co-founder and full-stack engineer of Prepzii, I architected a test simulator, performance diagnostics engine, and context-grounded AI tutor for competitive exam aspirants. Through SkaleKraft, I design and deliver high-performance web applications and digital presences for clients and growing businesses.

My engineering philosophy centers on clean architecture, type safety, low latency, and shipping software that delivers measurable value to end users.

Frontend    │ TypeScript • Next.js (App Router, SSR, RSC) • React • Tailwind CSS
Backend     │ Node.js • REST APIs • Supabase Edge Functions
Database    │ PostgreSQL • Supabase (RLS, Migrations, Realtime)
Deployment  │ Vercel • Git • GitHub Actions

AI / ML     │ Python • RAG Pipelines • Vector Search • LLM APIs (OpenAI / Anthropic / Gemini)
Mobile      │ Flutter • Dart • React Native • Expo
DevOps/Tool │ Docker • Postman • Vite • Linux / macOS Environments

Role: Co-Founder & Full-Stack Developer  •  Stack: Next.js 14, React, Supabase PostgreSQL, Clerk, Tailwind CSS

• Engineered an end-to-end exam practice ecosystem for JEE and NEET competitive aspirants.
• Built a realistic mock exam engine featuring timed section controllers, question palette synchronization, and instant percentile scoring.
• Implemented "Zi", an intelligent study assistant offering step-by-step doubt resolution tailored to high-school STEM curricula.
• Designed database schemas in Supabase PostgreSQL with strict Row Level Security (RLS) policies for multi-tenant student data isolation.
• Links: Live Platform • Repository (ai-study-web)

Role: AI & Full-Stack Developer  •  Stack: Next.js, Python, RAG Pipeline, Vector Embeddings, LLM APIs, Tailwind CSS

• Developed a legal document intelligence application leveraging Retrieval-Augmented Generation (RAG) to eliminate AI hallucinations.
• Built a custom ingestion pipeline that parses, chunks, and indexes complex statutory provisions and multi-page legal contracts.
• Integrated semantic similarity retrieval allowing natural language queries to match exact contract clauses with citation pinpoints.
• Links: Repository

Role: Founder & Lead Developer  •  Stack: Next.js 15, TypeScript, Tailwind CSS, Framer Motion, Resend, Vercel

• Designed and deployed the flagship digital agency platform for SkaleKraft, serving commercial clients with web and AI solutions.
• Implemented responsive cyber-minimal UI with sub-second page transitions, automated lead routing, and strict SEO compliance.
• Achieved top-tier Core Web Vitals performance across desktop and mobile form factors.
• Links: Live Production • Repository

Role: Solo Developer  •  Stack: Next.js 14, TypeScript, Framer Motion, Tailwind CSS, TMDB API

• Created an interactive media discovery application featuring a custom swipe-card gesture engine using Framer Motion physics.
• Integrated real-time debounced search, genre filtering, dynamic modal previews, and persistent client-side watchlist state.
• Links: Live Demo • Repository

Role: Full-Stack Developer  •  Stack: Next.js, TypeScript, PostgreSQL, REST APIs, Tailwind CSS

• Architectural implementation of an institution-focused learning management system.
• Designed modules for structured assessment authoring, cohort attendance tracking, and administrative performance telemetry.
• Links: Repository

I am always interested in discussing technical architectures, full-stack/AI engineering opportunities, and startup collaborations.

• 🌐 Portfolio: ateebmazhar.vercel.app
• 💼 LinkedIn: linkedin.com/in/ateeb10
• 🏢 SkaleKraft: skalekraft.in
• 🚀 Prepzii: prepzii.com
• ✉️ Direct Email: ateebmazhar17@gmail.com