Data Scientist at Red Hat · Agentic AI, LLM inference and MLOps on OpenShift & Kubernetes · Cork, Ireland
I'm a Data Scientist at Red Hat in Cork, Ireland, with 5+ years across AI/ML engineering, full-stack development, and cloud-native infrastructure. I build end-to-end AI systems — model training and LLM pipelines through production inference on OpenShift AI and Kubernetes. My work sits where applied AI research meets enterprise engineering: agentic AI frameworks, retrieval-augmented generation (RAG), serving large language models at scale, and open source that's actually deployable.
- Building agentic AI tooling and the Open GenAI Stack (OGX) for enterprise OpenShift deployments
- Knowledge tuning, model serving with vLLM, and agent orchestration on Red Hat OpenShift AI (RHOAI)
- Previously led a team of 5 at Carelon on an LLM medical-document pipeline — 89% extraction accuracy, 67% cost reduction
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Production-ready starter kits for building and deploying AI agents on Red Hat OpenShift AI. LangGraph, CrewAI, MLflow and Kagenti — run locally or deploy to RHOAI via OGX. 9 merged pull requests · red-hat-data-services |
Reference workloads for Red Hat AI — training pipelines, model serving, knowledge tuning and agentic deployment patterns designed to run on OpenShift. 3 merged pull requests · red-hat-data-services |
Also contributing to ogx-ai/ogx — the Open GenAI Stack for running GenAI workloads on Kubernetes.
mcp-nexus — Kubernetes-native control plane for managing Model Context Protocol (MCP) servers. Written in Go.
Honey Badger–Harris Hawk Optimizer — A novel hybrid meta-heuristic algorithm for complex optimization problems. Academic research.
AI / ML Python · PyTorch · TensorFlow · scikit-learn · LangChain · vLLM · Spark
Infra / MLOps Kubernetes · OpenShift · Docker · AWS · Airflow · Kafka · MLflow
Backend Go · FastAPI · Flask · Node.js
Data PostgreSQL · MongoDB · Redis · Neo4j · Qdrant
Frontend React · Angular · Flutter · TypeScript