
Full Stack Engineer with 1+ years in React, Node.js & PostgreSQL
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Assessing your cultural and operational fit
Full-Stack Developer skilled in React.js, Node.js/Express.js, PostgreSQL, Prisma ORM, Redis, and React Query. Developed scalable UIs with Tailwind and Framer Motion, optimized APIs through caching and query tuning, and implemented secure authentication using JWT, Google OAuth2, and HTTP-only cookies. Utilized prompt engineering and AI tools to automate tasks, improve UX, and accelerate feature delivery. Solved 400+ DSA problems, reflecting strong analytical and coding skills.
Lakshmi Narain College of Technology and Science
Bachelor of Technology · Computer Science Engineering
August 1, 2021 – June 30, 2025
Government CSA Higher Secondary School
Senior Secondary (12th Grade)
June 1, 2020 – May 31, 2021
FootageFlow – AI-Powered Video Management Platform
August 1, 2025 – Present
Built a full-stack AI platform using React, TypeScript, Node.js, and PostgreSQL (Prisma ORM). Automated transcription, tagging, and story generation for 1,000+ video uploads. Implemented secure authentication with Google OAuth2, JWT, and Firebase; integrated Cloudinary and FFmpeg for real-time processing, reducing analysis time by 50%. Integrated AI models (Whisper, Gemini) to automate metadata extraction, increasing search accuracy by 85%.
Taskio - Modern Todo List Application
March 1, 2025 – Present
Built a feature-rich todo list application using React, TypeScript, Node.js, Express.js, and PostgreSQL with Neon Auth and Cloudinary file storage integration, supporting 500+ concurrent users. Incorporated 8+ advanced features, including Kanban board with drag-and-drop, habit tracking with 90%+ streak retention, photo/voice attachments, and productivity analytics with Recharts visualization across 12+ chart types. Designed a responsive UI using Tailwind CSS with 15+ Framer Motion animations, boosting task creation speed by 40% and reducing API calls by 60% with React Query.
FilmFusion - Multi-Category Movie Discovery Platform
December 1, 2024 – Present
Developed genre-based movie discovery with React 18, TypeScript, Node.js, and PostgreSQL. Configured JWT and Google OAuth2 authentication with HTTP-only cookies; optimized Redis caching to reduce response time by 67% (600ms to 200ms). Improved UX with Framer Motion, useMemo/useCallback optimizations, and skeleton loaders, achieving a 92% Lighthouse score and 30% higher retention.
Full-Stack Development Bootcamp
Udemy
June 1, 2026 – Present
JavaScript Intermediate
HackerRank
June 1, 2026 – Present
Software Engineer Intern
HackerRank
June 1, 2026 – Present
CSS Intermediate
HackerRank
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's personal projects demonstrate a strong initiative and passion for building diverse applications, from AI-powered platforms to productivity tools and movie discovery. This aligns well with a culture that values innovation, continuous learning, and hands-on development. The breadth of technologies used and the focus on performance and user experience indicate a candidate who is keen on delivering high-quality solutions. The leadership and achievement section further highlights a competitive and collaborative spirit.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to problem-solving and a focus on performance and user experience. Their leadership in a hackathon and mentoring activities suggest good teamwork and communication skills. The detailed project descriptions also show an ability to articulate technical achievements clearly.