At GlobalLogic, I engineer ML/LLM-based quality checks and AI infrastructure, reducing human review effort by 70%, vector database query latency by 90%, and production error rates by 30%. I also built traffic canary testing, monitoring infrastructure, and incident-response playbooks that reduced MTTR by 40%.
Previously, I built REST APIs, automated receipt-processing workflows, and CI/CD systems at Novoinvent Software, while developing agentic AI, telehealth, JIRA automation, and open-source middleware projects. I work across Python, FastAPI, Node.js, React, LLM tooling, cloud platforms, and production DevOps systems.
