
Software Development Engineer with approximately 4 years of experience building scalable, production-grade systems, and AI-enabled automation using Python, Node.js, SQL/PostgreSQL, and Angular. Strong in distributed systems, event-driven architectures (Kafka), low-latency REST APIs, and end-to-end ownership across the full SDLC (design → development → testing → deployment → monitoring). Improved platform performance and reliability with measurable outcomes, including API latency reduction (2s → 500ms), delivery success improvement (75% → 90%), and 99.99% uptime for critical services. Built and deployed enterprise automation at scale (multi-unit rollout, high daily message volumes), with hands-on experience in Kubernetes (AKS), Docker, CI/CD, and production troubleshooting. Award winner (CAHOTECH 3rd place).
Programming languages: Python, TypeScript, JavaScript, SQL
Frontend technologies: Angular, HTML, CSS
Backend frameworks: Nodejs, Expressjs, FastAPI
Distributed systems: Kafka, event-driven workflows
Database management: PostgreSQL, query optimization
Cloud and DevOps: Azure, AKS, Docker, CI/CD
GenAI tools: Azure OpenAI, prompt engineering
Development tools: Git, Postman, unit testing, Jira
Patient journey WhatsApp bot - enterprise GenAI platform (CAHOTECH - 3rd place), Python, FastAPI (async), Azure OpenAI, Kafka, PostgreSQL, AKS, WhatsApp Business API, Angular dashboard, built end-to-end patient journey automation: admission estimate → admission → consent signing → IP requests/complaints → discharge → gate pass → feedback, implemented GenAI conversation handling using Azure OpenAI; designed multi-bot orchestration with intelligent routing based on context/state, built event-driven workflows with Kafka for real-time hospital events (admission/transfer/discharge) enabling proactive notifications, increased message delivery success from 75% → 90% by eliminating system errors and improving retry/backoff handling, built operations dashboard reducing manual tracking effort by ~90% (removed dependency on DB/log lookups), scale: rolled out across ~15 hospital units, suite of 7 bots, processing ~10K messages/day per bot; 3 conversational bots with ~500 daily interactions
ECG interpretation web application (award-winning), built Angular modules, and integrated backend APIs for ECG interpretation workflows, improved responsiveness, and stability for clinical usage
Medical coding web application (recognized by Microsoft), integrated Angular UI with backend APIs, delivered enhancements, and production stability fixes