Help & Supportcareers@gravityer.com
Node JS Developer with less than a year in scalable systems and API architecture
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 Developer specializing in scalable Node.js systems, asynchronous job processing, and performance-oriented API architecture. Experienced in building distributed backend workflows using Redis, BullMQ, Worker Threads, and PostgreSQL with focus on concurrency, caching, fault tolerance, and real-time processing systems.
Galgotias University, Greater Noida
Bachelor of Computer Application (BCA)
August 1, 2023 – June 30, 2026
EduSkills
Full Stack Developer Intern (Node.js Focused)
October 1, 2024 – December 1, 2024
India
Distributed Image Processing System with Parallel Transformation
January 1, 2026 – Present
Built a scalable image processing application capable of handling multiple transformation jobs concurrently through parallel processing architecture Developed RESTful APIs for image uploads, transformation orchestration, batch processing, and real-time job status tracking Increased processing throughput by nearly 3× using Node.js Worker Threads for CPU-intensive tasks and Cluster for multi-core concurrency optimization Implemented real-time progress streaming using Server-Sent Events (SSE) to deliver live transformation updates to the frontend Designed asynchronous processing workflows with improved reliability, responsiveness, and concurrent job execution handling.
View ProjectCollaborative Task Management System with Redis Caching
December 1, 2025 – Present
Developed a collaborative task management application supporting multi-user workflows, task organization, and secure access control Implemented JWT authentication and role-based access control (RBAC) for secure user authorization and permission handling Reduced average API response time by ~40% using Redis caching and optimized MongoDB query operations Improved backend reliability and request handling using API rate limiting and scalable MongoDB schema design
View ProjectCultural Fit Analysis
The candidate's personal projects demonstrate initiative and a proactive approach to learning and applying advanced concepts (e.g., Worker Threads, Cluster, SSE, Redis caching). The focus on performance optimization and scalable architecture aligns well with a culture that values efficiency and robust solutions. The internship experience, even if short, shows an ability to work in a structured environment. The breadth of skills listed, including both backend and some frontend technologies, suggests adaptability and a willingness to explore different areas, which can be beneficial for team collaboration and diverse project needs.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to design and implement complex systems, suggesting strong problem-solving and analytical skills. The collaborative task management system project implies an understanding of multi-user workflows and access control, which are important for team-oriented environments. The internship experience, though brief, highlights collaboration using Git and adherence to structured development workflows, indicating a foundational understanding of operational best practices.