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Fullstack Engineer with less than a year in MERN stack & Generative AI.
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Assessing your cultural and operational fit
Full-Stack Developer specializing in the MERN stack with strong proficiency in Python. Experienced in building responsive frontend applications and scalable backend systems. Currently expanding into Generative AI, including LLMs and Retrieval-Augmented Generation (RAG), to develop intelligent and AI-powered web solutions. Passionate about clean architecture, performance optimization, and real-world problem solving.
LBS College Of Engineering Kasaragod
B.Tech · Computer Science Engineering
June 1, 2020 – May 1, 2024
SRMGHSS Ramnager, Mavungal
Higher Secondary · Computer Science
June 1, 2020 – August 1, 2023
Infotact Solutions
Web Development Intern
September 1, 2025 – November 1, 2025
Bengaluru, Karnataka, India
E-Commerce Web Application
June 28, 2026 – Present
• Designed and developed a full-stack e-commerce web application enabling users to browse products, add items to cart, and complete checkout workflows. • Built responsive and reusable UI components using React.js and Tailwind CSS, ensuring cross-device compatibility and clean user experience. • Implemented secure user authentication and authorization using JWT-based authentication and protected routes. • Developed RESTful APIs using Node.js and Express.js to handle product management, cart operations, and order processing. • Designed MongoDB schemas for users, products, and orders, ensuring efficient data storage and retrieval. • Performed debugging, API testing (Postman), and optimized frontend-backend data flow for improved performance.
Fitness Dashboard
June 28, 2026 – Present
• Built a responsive fitness management UI enabling trainers and trainees to manage workout plans and monitor progress. • Implemented state-driven UI updates using React Hooks and controlled components. • Structured the application using reusable component architecture for scalability and cleaner code organization. • Styled the application using Tailwind CSS with a mobile-first responsive approach.
View ProjectChat With Pdf - Retrieval Augmented Generation(RAG) Application
June 28, 2026 – Present
• Designed and implemented a Retrieval-Augmented Generation (RAG) pipeline to enable document-grounded question answering over uploaded PDFs. • Built a semantic search system using vector embeddings and FAISS for efficient context retrieval. • Implemented structured text chunking and embedding generation for optimized retrieval accuracy. • Integrated Google Gemini for context-aware response generation with prompt grounding to reduce hallucinations. • Optimized performance by caching embeddings and vector stores to prevent recomputation and API rate-limit issues
View ProjectFull Stack Web Development Bootcamp
Udemy
June 1, 2026 – Present
MERN Stack Training
Infotact Solutions
June 1, 2026 – Present
AI Appreciate
Intel Corporation
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a diverse interest, ranging from e-commerce to AI-powered applications and fitness dashboards. This breadth of interest, combined with an stated passion for clean architecture and real-world problem-solving, suggests a good cultural fit for an innovative and problem-solving-oriented team. The internship experience in an Agile environment further supports adaptability to modern development cultures. However, the experience level is entry-level, which might require mentorship within a senior team.
Soft Skills & Operational Fit
The candidate highlights communication, problem-solving, teamwork, and leadership as soft skills. The project descriptions and internship experience suggest an ability to collaborate in an Agile environment and debug/optimize applications, which aligns with operational fit for a development role. However, without specific examples or interview data, the depth of these soft skills cannot be fully assessed.