About Me
React.js and Next.js engineer with hands-on experience building and shipping production-grade full-stack applications for real clients. Skilled in component-based architecture, responsive design, performance optimization, and scalable system design. Currently developing Rushd—an AI-powered platform that converts video content into verified skills and certificates—demonstrating strong API integration, modular pipeline architecture, and end-to-end technical ownership. Passionate about solving real-world problems through clean, maintainable code and product-first thinking.
Skills & Technologies
Work Experience
Self-Employed / Freelance
Architected and delivered production-ready web applications for real clients using React.js, Next.js, JavaScript, and Supabase—independently owning all technical decisions from system design through deployment. Engineered a full-stack travel platform for Hakimi Travels using Next.js with SSR and a Supabase backend, applying performance optimization and SEO best practices for a live production deployment. Architected a multi-stage application processing portal for Burhani Mobile handling PAN, passport, and kiosk banking services—featuring complete application lifecycle management (pending → approved → confirmed → on hold → cancelled), state-based workflow logic, a real-time admin dashboard, unique application ID tracking, and advanced search and filtering—serving live users in production.
Projects
Rushd — AI Proof-of-Learning Platform Description:
Architected a verification-first learning platform that converts long-form video content into AI-verified skills and tamper-proof certificates with unique verification codes. Engineered a chunk-based content processing pipeline (10-minute segments, up to 15 chunks) integrating Deepgram speech-to-text and Groq LLM for automated quiz generation and skill extraction. Designed an AI Thought Analysis system evaluating reasoning depth, clarity, and applied understanding. Built on a two-phase backend architecture with a sequential MVP pipeline and planned parallel processing for performance optimization. Skills: Next.js, React.js, Supabase, Groq LLM, Deepgram, REST APIs, API Pipeline Design, System Design
PYQ Analyzer — Exam Intelligence & Pattern Recognition System
Built a data-driven system to automate previous-year question analysis, surfacing high-frequency topics, marks-weighted patterns, and question normalization logic. Generated structured, prioritized exam preparation strategies using pattern recognition and algorithmic scoring — designed to give students a measurable study advantage. Skills: Python, Data Analysis, NLP, Algorithm Design, Pattern RecognitionSkills: Next.js, React.js, Supabase, Groq LLM, Deepgram, REST APIs, API Pipeline Design, System Design
Education
B.Tech — CSE
CSE
10TH+2
General
10TH
General