Experience

Building AIOps solutions to enhance IT operations efficiency and reduce alert fatigue. Developed an Event Correlation System that cut alert noise by 60% and duplicate tickets by 50%, with a self-learning mechanism improving correlation accuracy by 30%. Revamped a legacy chatbot into a microservices-based NLP framework (RASA) deployed on Slack and Microsoft Teams, boosting adoption and response efficiency. Designed an automated calling system with intelligent routing for on-call engineers, reducing downtime and improving incident response. Skilled in Python, Node.js, FastAPI, ElasticSearch, Semantic Search, Kafka, Kubernetes, Docker, and IBM Cloud.

Developed and deployed scalable web applications and enterprise solutions using Angular, Node.js, NestJS, and AWS. Led the creation of an HR software suite automating recruitment, onboarding, and leave tracking, improving productivity by 50% and reducing onboarding time by 30%. Optimized a logistics app, cutting map load time from 90+ seconds to 2–3 seconds for large datasets. Enhanced internal workflows with automation for leave, ticket, and time tracking, while managing CI/CD, code reviews, and performance testing across a modern tech stack including MySQL, MongoDB, Redis, RabbitMQ, and AWS.

Developed and optimized embedded systems and IoT solutions for smart-city infrastructure, including Intelligent Public Toilets under the Swachh Bharat Mission. Designed embedded firmware for automation of lighting, sanitation, and occupancy detection, and engineered compact, high-performance PCBs that reduced hardware size by 25% with 99.8% fault tolerance. Additionally, built a Node.js-based monitoring application for real-time remote tracking and analytics of deployed units, ensuring seamless integration between hardware and software systems.