Aman Kumar

Fullstack Engineer

https://www.opentalent.in/aman-kumar-9470950

Fullstack Engineer with less than a year in React.js, Node.js & Machine Learning

Key Strengths

Proficient in MERN stack development, demonstrated through multiple full-stack projects.
Experience with real-time communication technologies like WebSockets and WebRTC.
Strong understanding of authentication (JWT) and payment gateway integration (Stripe).
Demonstrated ability to optimize backend performance and handle concurrent users.
Exposure to machine learning and NLP, indicating a broader technical interest.

Cultural & Operational Fit

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.

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About

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.

Top Skills

React.jsNode.JsMongoDBScikit Learn

Education

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

Projects

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.

Certifications

Microsoft Certified: Azure Fundamentals (AZ-900)

Microsoft

June 25, 2026 – Present

Microsoft Certified: Azure AI Fundamentals (AI-900)

Microsoft

June 25, 2026 – Present

Key Strengths

Proficient in MERN stack development, demonstrated through multiple full-stack projects.
Experience with real-time communication technologies like WebSockets and WebRTC.
Strong understanding of authentication (JWT) and payment gateway integration (Stripe).
Demonstrated ability to optimize backend performance and handle concurrent users.
Exposure to machine learning and NLP, indicating a broader technical interest.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit