Senior Mern Developer with 1+ years in AI-powered solutions & DevOps
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Full-Stack MERN Developer with hands-on experience building scalable web applications and AI-powered solutions, integrating DevOps practices for efficient deployment and performance optimization. Passionate about leveraging MERN + DevOps + AI tools to develop intelligent, production-ready systems that solve real-world problems at scale.
TELUS Digital
MERN Stack Intern
January 1, 2025 – Present
India
MomentDrop: AI-Powered Event Photography Distribution Platform
June 1, 2026 – Present
Architected a full-stack smart distribution platform enabling event attendees to auto-receive photos they appear in using AI facial recognition. Engineered a scalable CI/CD pipeline using GitHub Actions to build, test, and auto-deploy multi-container microservices (Node API, React Client, Python ML Service) to Render. Implemented an asynchronous background processing system using BullMQ and Redis to handle batch photo uploads and trigger ONNX-based (MobileFaceNet) face vector embeddings without blocking the main API. Integrated S3-compatible cloud storage (Backblaze B2) with pre-signed URLs for secure, authenticated image delivery, and added Sentry for real-time production error telemetry. Optimized the ML inference pipeline by replacing heavy C++ compilation steps with pure-Python ONNX runtime execution, reducing Docker image build times and eliminating out-of-memory (OOM) deployment failures
Smart Appliance E-Commerce & Service Platform
June 1, 2026 – Present
Architected a comprehensive e-commerce and repair service platform for an AI cleaning robot, reducing average support response times by integrating a context-aware Google Gemini AI chatbot. Engineered a responsive React/TypeScript frontend and a fully-featured Node.js/Express backend, ensuring robust background task processing and 99.9% uptime for logistics tracking using Redis and BullMQ. Streamlined operations by integrating multiple third-party APIs (PayU, Shiprocket, Cloudinary, Twilio) and implemented real-time admin dashboard capabilities using Socket.io. Automated the entire production deployment lifecycle via GitHub Actions CI/CD, configuring an AlmaLinux VPS with CyberPanel to serve the frontend via OpenLiteSpeed and managing the backend microservices with Docker.
100+ DSA problems solved on LeetCode
LeetCode
June 1, 2026 – Present
200+ DSA problems solved on Coding Nijas
Coding Ninjas
June 1, 2026 – Present
District Level Chess Player
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including an AI-powered photography platform and an e-commerce platform with an AI chatbot, shows a proactive and innovative mindset. Their interest in leveraging AI and DevOps practices aligns well with modern development cultures that value efficiency and cutting-edge technology. The mention of solving DSA problems indicates a commitment to foundational computer science skills, which is a positive cultural fit for a technically rigorous environment. However, the experience is primarily personal projects and an internship, which might require mentorship in a senior corporate setting.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through complex project architectures and optimizations (e.g., ML inference pipeline optimization, asynchronous processing). Their use of AI-assisted development tools suggests an adaptive and efficient approach to development. The project descriptions indicate an ability to work on end-to-end solutions and integrate various third-party services, which aligns with operational needs for delivering comprehensive products.