Experience

Resume

My professional journey combines cutting-edge AI development at IBM with deep academic foundations from Carnegie Mellon. I specialize in building scalable distributed systems and AI-powered applications that solve real enterprise problems.

Software Engineer - AI Centre of Excellence

IBM India

May 2024 - Present

Guide enterprise teams in building AI applications following best practices while architecting production-grade systems for real-time data processing, feedback analytics, and intelligent debugging.

Architected Feedback Hub platform with FastAPI handling 1,000+ requests/day with <100ms response time
Built enterprise RAG chatbot with connectors for Slack, Box Drive, and GitHub processing 10GB+ documents daily
Engineered A2A debugging system with MCP integration for automated root cause analysis of 500MB+ log files
Designed event-driven microservices with Apache Kafka for distributed log analysis with fault tolerance

Research Assistant

Carnegie Mellon University - TEEL Lab

May 2023 - Aug 2023

Worked under Prof. Majd Sakr developing educational content on cloud-native technologies and distributed systems.

Designed hands-on project demonstrating monolith-to-microservices migration with Docker and Kubernetes
Developed course curriculum covering distributed systems patterns (MapReduce, Apache Spark)
Created practical lab exercises on Kubernetes deployments, Helm charts, and multi-cloud strategies