shubhweb333

Built and maintained an Admin Panel using React.js and Node.js, integrating Stripe API to fetch user payment details and handle subscription cancellations. Implemented RBAC (Role-Based Access Control) to manage admin access levels. • Developed an Email Microservice with cron jobs to fetch subscribed users every week at 2 AM and automatically send promotional emails, improving engagement automation. • Optimized voice calling feature by introducing streaming LLM responses and running concurrent backend requests, reducing call latency by 40%. • Designed and implemented observability pipelines using Grafana and Loki for error monitoring, which helped identify and reduce production bugs by 80%. • Tech Stack: Node.js, React.js, MongoDB, Mongoose, AWS, Docker, Microservice Architecture, JavaScript

• Architected real-time AI chat systems using WebSocket protocol, LangChain, OpenAI embeddings, and MongoDB Atlas Vector Search for 10K+ users. • Developed scalable data pipelines with Cheerio web scraping and Node.js REST APIs, achieving 90% faster retrieval across 100K documents. • Optimized Node.js backend using Cluster module, PM2, and p-limit, enhancing throughput by 40% and supporting 5K+ concurrent requests with sub-100ms latency.

• Engineered high-performance TypeScript/Node.js microservices with PostgreSQL and Knex.js, reducing fraud by 90% with Google reCAPTCHA Enterprise. • Designed observability pipelines using Grafana, resulting in 30% faster deployments and system reliability of 99.9%. • Developed a scalable event-driven notification system with Firebase Cloud Messaging and RabbitMQ, improving delivery reliability by 20% for 100,000+ daily notifications.

• Developed Python scripts for server monitoring, increased productivity by 30%, optimized MySQL queries, maintained 95% customer satisfaction with L1 support. • Hands-on experience with Docker to deploy and manage code. • Created comprehensive documentation and troubleshooting procedures that reduced issue resolution time by 40%. • Skills - Python, Docker, MySQL, Microsoft SQL Server (MS SQL), Linux, Bash, Git, AWS (Amazon Web Services), Azure