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Full Stack Engineer with less than a year in MERN and Next.js
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Full-stack developer specializing in MERN and Next.js for scalable web applications. Experience building AI-driven products, real-time communication systems, and secure identity management, with focus on performance optimization and exceptional UX.
Siksha 'O' Anusandhan
Master of Computer Applications · Computer Applications
August 1, 2024 – June 30, 2026
Bhadrak Autonomous College
Information Technology Management · Information Technology Management
August 1, 2021 – June 30, 2024
SigmaGPT | Building SigmaGPT using OpenAI
March 1, 2026 – June 1, 2026
Created SigmaGPT, a ChatGPT-like AI web application using React.js, Node.js, and MongoDB, demonstrating complete end-to-end development. Designed a real-time and responsive chat interface capable of handling 100+ messages per session with smooth UI updates. Created and integrated 10+ RESTful API endpoints to manage user authentication, chat history, and secure data communication. Implemented AI-based conversation handling to generate natural, human-like responses with an average response time of under 2 seconds.
View ProjectZoomy Video Conferencing Project
December 1, 2025 – June 1, 2026
Built Zoomy, a real-time video conferencing web application using React and Material UI, delivering a clean and responsive layout for multiple screen sizes. Implemented WebRTC to enable low-latency audio and video communication, supporting 10+ concurrent users per session. Maintained application data in MongoDB and implemented secure user authentication using bcrypt and crypto. Built backend services with Express.js and Socket.io to handle real-time connections and messaging with an average response latency of under 2 seconds.
View ProjectGrowTrade | Stock Trading Platform
July 1, 2025 – June 1, 2026
Developed a full-stack stock trading platform called GrowTrade using React for the frontend and Node.js with Express.js for the backend, enabling real-time trade simulations for 100+ users. Designed 15+ reusable UI components using Bootstrap and Material UI icons, ensuring a clean, responsive and consistent user interface across devices. Managed application data using MongoDB with 5+ collections for users, trades and transaction history, and wrote 20+ unit tests using Jest. Deployed the complete application on AWS, achieving 99% uptime during testing and ensuring secure, scalable hosting.
View ProjectReact.js Frontend Development
Udemy
June 1, 2026 – Present
MERN Stack Development
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a strong interest in modern web technologies and real-time applications, which aligns well with an innovative and fast-paced development culture. The diversity of projects (stock trading, video conferencing, AI chatbot) indicates a broad interest and willingness to explore different domains. However, the lack of team-based projects or open-source contributions makes it challenging to fully assess collaboration and cultural alignment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end development, manage data, and focus on user experience. The emphasis on responsive design, unit testing (Jest), and deployment suggests an operational mindset. However, without direct work experience or psychometric test results, it's difficult to assess soft skills like teamwork, stress handling, or communication clarity in a professional setting.