AI Platform Engineer · Applied GenAI & Agentic Systems · Security-First
15+ years delivering enterprise-grade, resilient platforms across datacenter orchestration, factory automation, and security compliance.
Over the past 15+ years, I’ve evolved from core infrastructure and DevOps into building end-to-end full-stack applications, robust backend services, and AI-driven platforms. From datacenter orchestration engines to custom RAG and agentic AI systems, today I focus on engineering intelligent systems by combining modern web interfaces with agentic AI and RAG to ship high-impact software that scales.
A full-stack, agentic AI assistant for product security, with a React 18 frontend, FastAPI backend, and AI tool-calling that invokes backend skills to automate vulnerability-response tasks end to end. It lets one engineer single-handedly manage PSIRT activities across 9 Dell products.
An AI-driven engine that compares DISA STIG revisions using two-layer semantic analysis (MPNet sentence embeddings with FAISS in-memory similarity search), automatically classifying rule changes and flagging the implementation updates each new revision requires. It became a model for AI adoption across the org.
Dell's factory automation platform. I built its Jenkins CI/CD pipelines from the ground up (build, upload, deploy, test), plus the backend Python and Ansible workflows powering provisioning, and an Ansible unit-test framework wired into CI that caught regressions before merge (previously ~50% of new code broke existing playbooks).
A smart agent that reads a UI screenshot and surfaces the APIs and commands behind it, combining PaddleOCR and OpenCV screen understanding with a RAG engine and multi-model GenAI (Mistral, Phi-3, Mixtral). Built as a small team on a Dockerized Flask backend. Finalist in the AI-FOR / Modern Dev track.
I'm always up for building robust applications, turning complex requirements into clean code, and shipping software that lasts.