Hakimi Travels
Developed a production-ready travel platform using React.js & Next.js with SSR. Integrated Supabase backend for handling bookings & inquiries. Improved SEO and performance, leading to faster load times and better visibility.
Murtaza Stove Wala
Junior Software Developer | Building AI-Based Learning Tools | Rushd & PYQ Analyzer
PuneSoftware Development
1roles
18skills
3education
5credentials
About
Product-focused Computer Science Engineering student building real-world systems at the intersection of AI and learning. Currently developing Rushd, an AI-powered platform that converts content into verified skills, addressing the problem of unvalidated self-learning. Experienced in full-stack development (Next.js, Supabase, APIs) with a strong focus on scalable architecture, system design, and shipping production-ready applications.
Experience
Freelance Web Developer
Freelance
2024 – Present · Remote
Developed production-ready web platforms for Hakimi Travels and Burhani Mobile using React.js, Next.js, SSR, Supabase, APIs, workflow logic, admin dashboards, SEO optimization, and performance improvements. Built booking and inquiry handling, multi-stage application processing, verification logic, real-time application tracking, search and filtering, status-based workflows, and unique application IDs.
Education
Shushila Devi Bansal College, Indore
B.Tech, Computer Science Engineering
2023–2027
CGPA: 6.78
New City Convent Higher Secondary School
Higher Secondary
2021-2023
Badri Higher Secondary School
High School
2019-2021
Skills
React.jsNext.jsJavaScriptHTML/CSSResponsive DesignThree.jsSupabaseREST APIsGit/GitHubSEO OptimizationHTMLCSSGitGitHubData StructuresAI IntegrationWorkflow DesignAPI Pipelines
Projects
Burhani Mobile
Built a real-world application processing system with multi-stage workflow and verification logic. Developed a production-ready service platform for PAN, Passport, and Kiosk Banking services using Next.js and React. Built an admin panel with Supabase backend to manage and track user applications in real-time. Implemented a complete application lifecycle system with statuses: Pending, Approved, Confirmed, On Hold, Cancelled. Designed interactive admin dashboards with search, filtering, and detailed application views. Engineered state-based workflow logic ensuring valid status transitions and consistent data handling. Implemented unique application ID system for secure tracking and verification.
PYQ Analyzer
Built a system to analyze previous year questions and identify high-frequency topics & patterns. Implemented marks-weighted analysis and question normalization. Generated exam-focused insights and preparation strategies.
Ongoing verification-first learning platform that converts long-form content such as YouTube videos into verified skills and certificates. Includes chunk-based content processing, Deepgram speech-to-text, Groq LLM quiz generation, logic-based question distribution, certificate generation with unique verification codes, skill extraction, AI Thought Analysis, Supabase storage, and a modular two-phase backend architecture.
PYQ Analyzer — Exam Intelligence & Question Pattern System
System that analyzes previous year questions, identifies high-frequency topics and patterns, applies marks-weighted analysis and question normalization, and generates exam-focused insights and preparation strategies.
Production-ready travel platform built with React.js and Next.js with SSR, Supabase booking and inquiry integration, and SEO and performance improvements.
Real-world service platform for PAN, Passport, and Kiosk Banking services with a Next.js and React application system, Supabase-backed admin panel, real-time application tracking, multi-stage workflow and verification logic, status-based lifecycle management, dashboards, search, filtering, and unique application IDs.