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Software Engineer with less than a year in Node.js, RESTful APIs, and real-time systems.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Backend-focused Software Developer with hands-on experience building Node.js applications, RESTful APIs, and real-time systems. Strong foundation in backend engineering, data handling, and problem-solving, with a keen interest in scalable SaaS platforms and automation-driven products. Comfortable working across frontend and backend layers and contributing to production-style codebases.
Quick-Chat - Real-Time Messaging Platform (MERN Stack)
June 28, 2026 – Present
Designed and implemented RESTful APIs using Node.js and Express for user authentication and messaging workflows. Built secure login and session management using JWT and bcrypt to ensure authentication integrity. Enabled real-time message delivery using WebSocket-based communication for concurrent users. Optimized backend request handling and performed API-level debugging to improve reliability and latency. Designed MongoDB schemas and applied indexing concepts for efficient data storage and retrieval.
View ProjectBidZone - Real-Time Online Bidding Platform
June 28, 2026 – Present
Developed backend services using Node.js and Express to manage auctions, bids, and user interactions. Implemented real-time bid updates using Socket.IO to synchronize bidding state across connected clients. Designed event-driven backend logic to handle concurrent bid requests and ensure data consistency. Integrated RESTful APIs with frontend components using Axios for seamless client-server communication. Handled validation, error scenarios, and edge cases such as race conditions in bidding workflows.
ATM Simulator System Java (OOP Based)
June 28, 2026 – Present
Developed a console-based ATM application using core Java and object-oriented programming principles. Implemented authentication, transaction processing, balance management, and error handling logic. Applied encapsulation, inheritance, abstraction, and polymorphism for modular and maintainable code.
Cultural Fit Analysis
The candidate shows a strong interest in backend systems, scalable SaaS products, and continuous learning in system design, which aligns well with a growth-oriented engineering culture. The diversity of projects (messaging, bidding, ATM simulator) indicates adaptability and a broad technical curiosity. However, the projects are all personal, which might suggest limited experience in collaborative, production-level team environments.
Soft Skills & Operational Fit
The candidate's projects indicate an ability to work on end-to-end features, including authentication, real-time updates, and error handling. The 'Wall Street Wiz' achievement suggests leadership and teamwork skills. The interest in scalable SaaS platforms and automation aligns with modern development practices.