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Fullstack Engineer with less than a year in React.js, Node.js & Machine Learning
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Assessing your cultural and operational fit
Highly motivated Fullstack Engineer currently pursuing a Master's in Computer Application, with hands-on experience in building real-time communication platforms, e-commerce solutions, and machine learning models. Proficient in React.js, Node.js, Express.js, MongoDB, and Python, with a strong understanding of cloud computing and AI/ML principles demonstrated through Microsoft Azure certifications. Adept at developing scalable and efficient applications, optimizing backend performance, and integrating secure payment gateways, committed to leveraging technical skills for innovative problem-solving.
GL Bajaj College of Technology & Management
Masters of Computer Application · Computer Application
September 1, 2025 – June 1, 2027
Invertis University
Bachelors of Computer Application · Computer Application
June 1, 2022 – June 1, 2025
APS International School
Class XII – CBSE
N/A – May 31, 2022
Streamify (Real-Time Communication Platform)
September 1, 2025 – June 25, 2026
Built a real-time communication platform supporting 50+ concurrent users with secure JWT-based authentication and session handling. Implemented live chat with multimedia sharing (images/videos) via WebSockets, reducing message delivery latency to under 500ms. Developed one-to-one video calling using WebRTC enabling low-latency peer-to-peer communication with 95% uptime.
Grocery Store (Full-Stack E-Commerce Platform)
September 1, 2025 – June 25, 2026
Developed a full-stack grocery e-commerce platform with MERN stack supporting 100+ product listings with dynamic cart and order management. Streamlined secure authentication, cart, and order modules, improving checkout flow efficiency by 40%. Integrated Stripe payment gateway enabling end-to-end secure checkout and order processing.
Book Store (Bookstore Management System)
September 1, 2025 – June 25, 2026
Architected a bookstore platform with search, filtering, cart, and checkout for 100+ books. Built an admin panel to orchestrate books, user accounts, and orders with full CRUD capability. Optimized backend REST API performance, reducing data handling response time by 30%.
SMS Spam Detector (Machine Learning NLP Classifier)
September 1, 2025 – June 25, 2026
Built an SMS spam classifier using NLP techniques, achieving 95%+ accuracy on 5,000+ SMS samples. Applied text preprocessing, tokenization, and TF-IDF feature extraction pipelines for model training. Evaluated Naive Bayes and SVM models to maximize spam detection precision and recall.
Microsoft Certified: Azure Fundamentals (AZ-900)
Microsoft
June 25, 2026 – Present
Microsoft Certified: Azure AI Fundamentals (AI-900)
Microsoft
June 25, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a good breadth of technical interests, from full-stack web development to machine learning. The projects are relevant to a Fullstack Engineer role, demonstrating practical application of learned skills. The certifications in Azure Fundamentals and AI Fundamentals indicate a proactive approach to learning and adapting to new technologies, which aligns with a growth-oriented culture. However, all projects are personal, so experience in collaborative, production-level environments is not evident.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex features (e.g., real-time communication, e-commerce flows) and a focus on performance optimization. The personal projects suggest self-motivation and initiative. However, without professional experience, direct evidence of team collaboration, stress handling, or work attitude is limited.