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Node JS Developer with 1+ years in Backend Architecture & API Design
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Shaurya Awasthi is an accomplished Team Head with 1.8 years of experience, specializing in Node.js and Express.js for building scalable backend APIs. He has successfully led projects, restructured database schemas for performance, and mentored junior developers. His expertise spans AI-powered SaaS platforms, secure API development with various authentication methods, and robust system architectures using Docker, Kubernetes, and cloud services.
Dr. A.P.J Abdul Kalam Technical University
Bachelor of Technology · Information Technology
August 1, 2023 – June 30, 2027
Machine Learning Centre of Excellence
Team Head
October 1, 2024 – Present
Ghāziābād, Uttar Pradesh, India
TaskForge
May 1, 2026 – June 1, 2026
Provisioned a production-grade backend on Azure VM using Docker, NGINX, HTTPS SSL, and GitHub Actions CI/CD for containerized deployments. Crafted 15+ secure REST APIs with JWT auth, Google/GitHub OAuth, RBAC, refresh-token workflows, and Redis-based token revocation. Leveraged Redis + BullMQ workers for asynchronous audit logging, background job processing, queue handling, and O(1) token blacklist validation. Designed isolated API, Worker, Redis, and PostgreSQL containers with Swagger/OpenAPI documentation and a scalability-focused backend architecture.
View ProjectNexus Playground
December 1, 2025 – December 1, 2025
Spearheaded an AI-powered SaaS platform leveraging Cloudinary AI APIs for image and video optimization workflows. Achieved 45-60% reduction in media size through AI-driven resizing, smart cropping, and compression pipelines. Configured Clerk authentication with Edge middleware and a scalable data layer using Prisma and NeonDB. Accelerated content workflows by generating thumbnails and 15-second preview clips programmatically, cutting manual review effort by 50%.
Software Circuit
October 1, 2025 – October 1, 2025
Delivered posting, voting, commenting, and media upload features, driving a 40% increase in user engagement. Adopted Appwrite authentication and database services to manage 500+ user accounts securely. Overhauled global state handling with Zustand, improving UI responsiveness by ~30%. Launched a community-driven Q&A platform inspired by Stack Overflow, scaling to 500+ registered users
AAGAH
September 1, 2025 – September 1, 2025
Architected a secure Node.js + Express backend with JWT authentication and role-based admin access, enabling safe management of crowd alerts and cutting unauthorized access risks by ~90%. Developed 10+ RESTful APIs for alert management, admin operations, user workflows, and crowd event handling across multiple real-time monitoring modules. Embedded Google Places API to fetch nearby emergency exits from live coordinates, enabling location-aware evacuation guidance and reducing manual response effort by ~60%. Fortified a production-ready backend using MongoDB, Helmet, HPP, CORS, rate-limiting, and Socket.IO, enhancing API security and preparing the system for real-time multi-client communication.
View ProjectCultural Fit Analysis
The candidate's diverse personal projects, ranging from task management systems to AI-powered SaaS platforms and community Q&A platforms, indicate a broad interest in technology and a willingness to explore different problem domains. Their role as a 'Team Head' and experience mentoring junior developers suggest a collaborative mindset and a potential for leadership within a team. The focus on secure and scalable architectures aligns with best practices often valued in engineering cultures. The candidate's current enrollment in a Bachelor's program while holding a 'Team Head' role and completing significant projects demonstrates strong drive and commitment, which are positive indicators for cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative through personal projects, showcasing a proactive approach to learning and applying new technologies. Their experience mentoring junior developers and authoring technical documentation suggests good communication and collaboration skills. The project descriptions highlight problem-solving abilities and a focus on delivering tangible results (e.g., '45-60% reduction in media size', '40% increase in user engagement'). The candidate's involvement in a 'Machine Learning Centre of Excellence' as a 'Team Head' further indicates leadership and operational capabilities.