Developed a robust cloud layer for IoT devices, enhancing data processing and communication efficiency.

Built a custom WebSocket layer replacing AWS API Gateway, cutting costs by 60% while handling 50M+ daily IoT messages with better reliability.

Built and deployed multiple microservices to manage the complete lifecycle of IoT devices, from ingestion to maintenance.

Designed a real-time data pipeline using AWS IoT Core, Kafka, and custom TypeScript processing engine to handle 100GB daily sensor data with 99.9% uptime.

Architected scalable cloud infrastructure for next-gen smart HVAC systems, reducing message latency from 300ms to 105ms.

Led the tech side for product development, developing an AI-powered MVP for shift-filling in healthcare.

Built a Chrome extension to automate shift allocation with third-party scheduling tools, decreasing unattended schedules by 30%.

Led the development of AI agents using fine-tuned LLMs, enhancing customer satisfaction, which led to securing seed round funding from VCs.

Set up cloud infrastructure using Kubernetes, Go, React, PostgreSQL, and DigitalOcean.

Used GPT-4 and Claude APIs to build conversational agents that text caregivers 24/7.

Enhanced the efficiency of in-facilities operations by 2x via ingress and egress services through collaboration with designers, PM, and cross-functional teams.

Co-built a product load test framework, now used by six teams, enhancing flexible load testing capabilities.

Improved fleet management and work order handling by developing key components for Starfleet using React, Node.js, PostgreSQL, and Redis.

Handled front-end errors of the mission control dashboard and streamlined stack traces to a third-party service using a CI/CD pipeline for the fleet project team.

Added a mechanism to send Slack notifications to the troubleshooting team on every issue/occurrence of driverless cars.

Contributed to developing a solution to deliver over-the-air updates to autonomous vehicles securely.

Increased test coverage from 35% to 80% with unit, integration, and IFT tests, ensuring reliable production deployment.

Resolved back-end bottlenecks, enabling expansion to three new cities and managing hundreds more fleets.

Founded ingress and egress services, implemented with gRPC, Go, and Spanner DB.

Implemented a fully automated Kubernetes cluster, boosting system performance by 40% and minimizing downtime.

Maintained servers and databases as an AWS account administrator, ensuring smooth organizational operations.

Designed Node.js GraphQL APIs and React dashboards, leading to enhanced data analysis efficiency and improved decision-making for customers.

Generated actionable insights by implementing a customized logging system with Loki and Fluentd and streamlined visualization with Grafana.

Managed a team of 5 to develop a complete feature in Node.js and React using a Python service to process data and produce reports.

Fixed production bugs in React Native applications and React web dashboards as part of the customer support team.

Built and successfully launched a DPO (distribution process optimization) feature using Node.js, React, React Native, Apollo GraphQL, and MySQL.

Refactored a big chunk of the codebase to improve performance and increase code reusability.

Created a CI/CD pipeline on CircleCI and reduced feedback time from a couple of days to hours.

Defined and streamlined development processes including sprint planning, development, testing, and documentation.

Engineered an alert microservice in Node.js/TypeScript, deployed on Kubernetes using Helm Chart, which reduced threat detection time by 40%.

Spearheaded the creation of a custom network file server, reducing the cost of the existing solution (AWS EFS shared storage) by 1/3.

Implemented a Node.js dump-bot that efficiently scrapes large text files, running in isolation mode and self-destructing after each request, enhancing efficiency and reducing server load.

Worked closely with the PO and CTO to discuss new features, design the roadmap, and architect the software solutions.

Implemented a work queue on the Kubernetes cluster to replace plain network calls between microservices.

Ran performance optimization via code or DevOps on many parts of the application.

Used Prometheus metrics and created Grafana dashboards to monitor all services, ensuring smooth operation and identifying potential issues.

Designed and developed the MVP of an internal tool from scratch in three weeks using Express.js for the back-end API and React.js for the front end.

Built the front end and back end of two microservices in Node.js and one internal tool, single-handedly, and launched them using Docker and Kubernetes.

Created multiple dashboard screens with several dynamic charts using React, Redux, and AntD on the front end and Node.js and Express.js on the back end.

Created a custom role-based permission access framework to handle access to different platform features.

Fixed production bugs and streamlined them with Jira cards.

Built web and mobile apps to transform business ideas into solid products.

Helped small business owners create roadmaps and build customer-generation digital platforms, increasing customer reach and revenue growth by 30% to 50%.

Created Swacity, a workforce and asset management platform for the government agencies of the Bhopal Municipal corporation.

Played a vital role as a lead engineer tasked with coding and architecting the system while managing a four-member team.