Building AI-powered products that solve real problems. Full-Stack Developer specializing in Next.js, FastAPI, Spring Boo

Vishnu Mashalkar  • Peerlist

CampusMart is a full-stack MERN web application built to enable college students to buy, sell, and trade items within their campus community. The platform allows users to create listings, view available products, update item details, and remove listings when items are sold. I implemented complete CRUD functionality with a focus on clean architecture, smooth user experience, and responsive design. The frontend is developed using React.js and Tailwind CSS for a modern, mobile-friendly interface, while the backend is powered by Node.js and Express.js with MongoDB for data storage. The project follows a structured API-based approach for handling client-server communication. Key features: • Full CRUD operations (Create, Read, Update, Delete) • RESTful APIs for product management • Responsive and user-friendly UI • MongoDB database integration • End-to-end MERN stack implementation This project strengthened my understanding of full-stack development, REST APIs, database operations, and real-world application workflows.

CampusMart - Buy, Trade and Sell in One Place

Built a production-grade personal portfolio using Next.js 14 (App Router), TypeScript, and Tailwind CSS. Features include an interactive particle mesh background with mouse tracking, 3D tilt effect on project cards, a Cmd+K command palette for keyboard navigation, custom animated loading screen, scrolling tech marquee, and smooth page transitions. Fully responsive across all devices. Deployed on Vercel with CI/CD via GitHub — every push auto-deploys. 🔗 tinyurl.com/vishnumashalkar

Personal Portfolio Website

Finding a job isn't just about having a resume—it's about knowing whether your resume is actually ready for the companies you're targeting. Most students rely on generic resume templates or vague feedback, making it difficult to identify what truly needs improvement.PlaceWise is an AI-powered platform that analyzes student resumes and provides personalized placement-readiness insights. Instead of simply checking formatting or ATS compatibility, it evaluates your profile holistically, identifies missing skills, highlights weak sections, and generates actionable recommendations tailored to your career goals.To deliver contextual and accurate feedback, PlaceWise leverages a Retrieval-Augmented Generation (RAG) pipeline built with ChromaDB and Sentence Transformers, enabling the AI to retrieve relevant information before generating recommendations through Groq LLMs. This produces feedback that is more personalized and grounded than generic AI responses.Key Features<ul><li>📄 AI-powered resume parsing and analysis</li><li>🎯 Placement Readiness Score based on multiple evaluation criteria</li><li>🧠 Skill-gap identification with practical recommendations</li><li>🤖 Context-aware feedback using Retrieval-Augmented Generation (RAG)</li><li>📚 Personalized 4-week improvement roadmap</li><li>✅ ATS-aware suggestions to improve resume quality</li><li>⚡ Fast, responsive interface built for an excellent user experience</li></ul>Tech StackFrontend<ul><li>Next.js 14</li><li>React</li><li>TypeScript</li><li>Tailwind CSS</li></ul>Backend<ul><li>FastAPI</li><li>Python</li></ul>AI &amp; Data<ul><li>Groq LLM</li><li>ChromaDB</li><li>Sentence Transformers</li><li>RAG Pipeline</li></ul>Why I Built PlaceWiseAs placement season approaches, many students struggle to understand where they stand and how to improve their resumes. Existing tools often provide generic suggestions that aren't tailored to campus recruitment.PlaceWise was built to bridge that gap by delivering intelligent, personalized feedback that helps students strengthen their resumes, close skill gaps, and prepare with greater confidence for internships and campus placements.