FullStack (Mern) Developer with 2+ years in MERN Stack & AI/ML
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Assessing your cultural and operational fit
Skilled Mern-Stack Developer with 2.8 years experience in designing and developing scalable, high-performance applications for global clients. Proficient in React.js, Express.js, Node.js, RESTful APIs, and database management(MongoDB), with expertise in delivering secure and reliable business-critical solutions. Strong problem-solving skills with a proven ability to optimize backend systems, integrate API's and build responsive frontends. Adept at collaborating in agile environments to drive end-to-end software development.
Matoshri College of Engineering and research center
Bachelor of Engineering · Computer Engineering
August 1, 2021 – June 30, 2024
MET Bhujbal Knowledge City
Diploma · Computer Engineering
August 1, 2017 – June 30, 2021
SMARTMATRIX Digital Services Pvt Ltd
Fullstack Developer
May 1, 2025 – Present
Pune, Maharashtra, India
K K Wagh College of Pharmacy
Technical Assistant
October 22, 2024 – April 30, 2025
Nashik, Maharashtra, India
SMARTMATRIX Digital Services Pvt Ltd
React Developer (Internship)
June 1, 2023 – September 30, 2024
Pune, Maharashtra, India
NewsMonkey – Web News Application
May 1, 2026 – May 1, 2026
News-Monkey is a responsive web application that delivers up-to-date news articles across various categories such as Technology, Business, Sports, Health, and Entertainment. Built with React.js, it fetches real-time data from the NewsAPI and presents it through a clean and user-friendly interface. Implemented features such as infinite scrolling, category-based filtering, and live data fetching.
House Price Prediction
May 1, 2026 – May 1, 2026
Developed a machine learning web application to predict house prices based on key factors like location, area, number of rooms, and amenities. House Price Prediction is a machine learning-based web application that estimates the price of a house based on user input features such as location, number of bedrooms, square footage, and more. The backend is powered by Flask, which serves a trained regression model built using Scikit-learn. The app includes a simple and interactive HTML form UI for input and displays the predicted price instantly.
E-Commerce Website
May 1, 2026 – May 1, 2026
Built an e-commerce web application front end with product listings, shopping cart, and checkout features using the MERN stack. Designed a responsive, modern UI with React and Tailwind CSS to ensure smooth usability across devices. Implemented user authentication, dynamic product filtering, and order management for a seamless shopping experience.
Carnomia
May 1, 2025 – May 1, 2026
Developed and deployed Carnomia, a customer-facing web application using React.js to support online booking for vehicle pre-delivery inspection services. Developed responsive, user-friendly web interface using React.js, JavaScript/TypeScript, and modern front-end tools. Managed state and component lifecycle to handle dynamic content and user interactions efficiently. Work with state management libraries like Redux & Context API. Implemented responsive design to ensure consistent user experience across desktop and mobile devices. Deployed and maintained a production-ready React application. Tech Stack: React.js, Context API / Redux, Axios, Tailwind CSS, FakeStore API / Node backend
Microsoft Excel
EXCELR
May 1, 2026 – Present
AI-Masterclass
Pantech Solutions
May 1, 2026 – Present
SEO-Masterclass
AI BRAHMASTRA PVT LTD.
May 1, 2026 – Present
Back-end Web Development
Devtown
May 1, 2026 – Present
Python Programming and SQL
EXCELR
May 1, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a broad interest in technology, with projects spanning MERN stack, news applications, and machine learning, indicating a proactive and curious learning mindset. Explicit mentions of 'Team Collaboration' and 'Adept at collaborating in agile environments' suggest a good fit for team-oriented development cultures. The diversity of skills and projects aligns well with a dynamic and evolving technical environment.
Soft Skills & Operational Fit
The candidate explicitly lists problem-solving, effective communication, quick learning, team collaboration, and time management as soft skills. Project descriptions indicate an ability to manage dynamic content, implement responsive designs, and work with modern development workflows. The 'Technical Assistant' role, while not directly software development, suggests experience in system maintenance, coordination, and problem resolution, contributing to operational reliability.