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Full-Stack Developer & AI Engineer specializing in scalable, user-centric applications and intelligent, agentic system architecture.
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Skilled in Next.js, TypeScript, and the MERN stack; integrating LangChain, LangGraph, and LLMs to build context-aware, production-ready applications.
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Pursuing B.Tech in Computer Engineering at Vidyalankar Institute of Technology, with 2+ years of hands-on development experience and a growing specialization in AI Engineering — currently deepening expertise in agentic AI systems.
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Creator of Strivo: A unified social media platform combining video and microblogging.
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Developer of FormForge: A type-safe, schema-driven form-building platform with GitHub-integrated versioning, built on a Next.js, tRPC, and Turborepo monorepo architecture.
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Creator of PrepVector: An AI-powered platform combining an ATS-optimized resume builder with voice-driven, LangChain-powered mock interview simulations.










Ocmono Avenues pvt.ltd
- •Developed and deployed multiple websites for company and client projects.
- •Implemented backend functionality using Drupal and built modern user interfaces using React.js.
- •Delivered complete end-to-end web solutions tailored to different client requirements.
- •Contributed to the ClinicPro project, assisting in development and improving the platform’s functionality and web presence.
- •Collaborated with team members to ensure efficient project delivery and performance optimization.
Vidyalankar Institute of Technology
(10 CGPA)Government Polytechnic Bandra
(92%)- •Developing Strivo, a full-stack social media platform that integrates long-form video uploads and tweet-style posts within a unified system.
- •Designing and implementing scalable backend APIs to manage users, posts, media uploads, and interactions.
- •Building a modern, responsive frontend using React with advanced state and data-fetching patterns.
- •Implementing efficient client-server data synchronization using TanStack Query for optimized performance and caching.
- •Structuring the project with modular architecture to support scalability and future feature expansion.
- •Building PrepVector, a full-stack AI platform that unifies resume building with realistic, voice-driven mock interview simulation.
- •Designing AI pipelines using LangChain to generate tailored interview questions and evaluate spoken answers in real time.
- •Implementing a voice-driven interview simulator using native Web Speech APIs for text-to-speech and speech-to-text interaction.
- •Developing structured AI output parsing with Zod to reliably generate scorecards, skill-gap analyses, and multi-day preparation roadmaps.
- •Building an HTML-to-PDF resume generation pipeline using headless Puppeteer for pixel-perfect, ATS-friendly exports.
- •Architecting a cross-domain authentication system to ensure reliable session handling across separately hosted frontend and backend services.
- •Structuring the project with a scalable, modular backend and a feature-based frontend architecture for maintainability and growth.
"Excuses don't win championships."
