Design, deploy, and operate AWS infrastructure and CI/CD for production AI applications. Manage monitoring, incident response, backups, security, and runbooks. Lead L1/L2 support, mentor junior engineers, and participate in client-facing technical reviews for fintech AI workloads.

Design, test, and evaluate LLM-based underwriting agents for credit-risk use cases. Translate underwriting judgment into auditable AI workflows, define evaluation frameworks, analyze bureau/tradeline and borrower-risk signals, compare AI outputs to historical decisions and outcomes, and collaborate with engineers, credit experts, and stakeholders to build governed, human-in-the-loop underwriting solutions.

Build production-grade Agentic AI and LLMOps systems: backend APIs with Python/FastAPI, orchestrate LLMs and multi-step agent workflows, enforce schema-validated structured outputs, implement logging, observability, testing, and deploy containerized services alongside data engineers and stakeholders.