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Fullstack Engineer with 3+ years in MERN Stack & AI-Driven Product Workflows
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Assessing your cultural and operational fit
React.js Frontend Developer with 3 years of professional experience building production-grade web applications, specializing in React.js, Redux Toolkit, TypeScript, and Tailwind CSS, with hands-on MERN stack development using Node.js, Express.js, and MongoDB. Delivered high-performance, conversion-focused interfaces with measurable impact — including a 35% reduction in unnecessary re-renders and a 30% decrease in duplicate code across real-world client projects in Agile environments. Recently completed a Generative AI Specialization (GeeksforGeeks) and actively applied RAG pipelines, Gemini API integration, and agentic AI concepts to production-adjacent projects, combining modern full-stack engineering with AI-driven product workflows.
AVN Institute of Engineering and Technology
Bachelor of Technology · Electronics and Communication Engineering
August 1, 2017 – June 30, 2021
SoftProdigy System Solutions Pvt Ltd
Associate Software Engineer
September 1, 2022 – Present
Mohali, Punjab, India
SoftProdigy System Solutions Pvt Ltd
Software Engineer Intern
June 1, 2022 – September 1, 2022
Mohali, Punjab, India
Fake Job Detection — GenAI-Powered Classification System
June 1, 2026 – Present
Built an AI-powered fake job listing detection tool leveraging the Gemini API and Retrieval-Augmented Generation (RAG) — applied Generative AI Specialization learnings to a real-world trust and safety problem, demonstrating the ability to integrate LLM APIs into practical frontend workflows. Designed a React.js frontend with prompt engineering for structured LLM output — enabling classification of job postings as legitimate or fraudulent with reasoning, giving users actionable transparency. Implemented a RAG pipeline to ground model responses in reference data, reducing hallucinations and improving classification accuracy — applying multi-agent and agentic AI concepts from GenAI coursework.
View ProjectDevTinder - Full-Stack MERN Developer Networking App
June 1, 2026 – Present
Building a Tinder-style developer connection platform using the full MERN stack — React.js frontend with Redux Toolkit state management, Node.js/Express.js REST API backend, and MongoDB Atlas for persistent data storage. Implementing JWT-based authentication, protected routes, swipe-to-connect interactions, and real-time match feeds — applying full-stack MERN architecture patterns across auth, CRUD, and API design.
View ProjectReact AI Pipeline Builder — Agentic UI Assessment
March 1, 2026 – Present
Completed a real-world frontend engineering assessment for VectorShift (YC-backed AI automation platform) within one week — demonstrating rapid product delivery and applied understanding of agentic AI UI architecture. Built a BaseNode abstraction component using ReactFlow, eliminating duplication across all node types and enabling rapid creation of 5+ custom nodes — mirroring design-system component architecture at scale. Integrated FastAPI backend for pipeline validation: computed node and edge counts and implemented DAG cycle detection (DFS algorithm), returning structured JSON results to the React frontend.
View ProjectE-Commerce Frontend Platform
January 1, 2025 – January 1, 2026
Delivered a production-deployed, full-featured e-commerce UI with product catalog, debounced search, cart, checkout, authentication flows, and admin dashboard — deployed on Vercel. Implemented Redux Toolkit for global cart and auth state management with protected routes and role-based conditional rendering - mirroring enterprise-grade admin workflow architecture. Integrated REST APIs with loading skeletons, error boundaries, and optimistic UI updates; optimised via lazy loading, code splitting, and React.memo — reducing bundle size and improving perceived load performance.
View ProjectGenerative AI Specialization
GeeksforGeeks
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a diverse range of interests, from traditional e-commerce to cutting-edge AI applications, indicating a proactive learning attitude and willingness to explore new domains. Their experience in building reusable components and adhering to design system principles aligns with best practices for scalable development. The focus on measurable impact (e.g., 35% reduction in re-renders) suggests a results-oriented mindset. The personal projects, especially the AI-powered ones, demonstrate initiative and a passion for technology beyond their professional role.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through project work, particularly in optimizing React performance and integrating complex AI APIs. Their experience in Agile environments and collaboration with backend teams suggests good teamwork and operational fit. The ability to deliver a real-world assessment within a week highlights rapid product delivery and adaptability.