Associate Software Engineer @ Red Hat · Dublin, Ireland
Building AI-powered infrastructure for Red Hat OpenStack — from RAG pipelines to agentic workflows on the Llama Stack.
I'm an MEng graduate in Electronic & Computer Engineering from Dublin City University, now working on the OpenStack Lightspeed Team at Red Hat. I help build OpenStack Lightspeed — an AI-driven assistant that helps administrators manage Red Hat OpenStack on OpenShift (RHOSO) using natural language.
My day-to-day work sits at the intersection of LLMs, cloud infrastructure, and developer tooling — integrating vector databases, building RAG pipelines, wiring up MCP (Model Context Protocol) servers, and instrumenting everything with Prometheus & Grafana.
OpenStack Lightspeed — an AI assistant for RHOSO administrators
| Area | What I Work On |
|---|---|
| RAG Pipelines | Chunking RHOSO documentation into vector embeddings (FAISS/pgvector) so the AI can ground answers in official docs |
| Agentic AI | Building query handlers, question validators, summarizers, and redactors within the Lightspeed Core Stack (FastAPI) |
| MCP Servers | Integrating Model Context Protocol tools that let the AI query live OpenStack APIs (Nova, Neutron, Cinder) at runtime |
| Llama Stack | Configuring Meta's inference gateway to route queries across LLM providers (OpenAI, WatsonX, RHOAI, VertexAI) |
| Observability | Prometheus metrics and Grafana dashboards for real-time monitoring of AI service health and performance |
| Evaluation | LLM-as-a-Judge pipelines that score answer quality on correctness, helpfulness, and grounding |
Architecture in one sentence: User question → LCS (FastAPI) → RAG retrieval → MCP tool calls → Llama Stack → LLM → grounded answer with citations.
Core: Python · Bash · Go · SQL AI/ML: LLMs · RAG · FAISS · pgvector · Llama Stack · MCP · LangChain · PyTorch · Scikit-learn Cloud & Infra: OpenShift · Kubernetes · Docker · Podman · AWS · Prometheus · Grafana Dev: FastAPI · Django · Git · CI/CD · Linux · Jupyter
I actively contribute to Red Hat's open-source AI projects across two GitHub organizations:
| Repository | Role | Description |
|---|---|---|
lightspeed-core/lightspeed-stack |
Contributor | Core AI service — FastAPI, agent orchestration, RAG, MCP integration |
openstack-lightspeed/rag-content |
Contributor | RHOSO documentation → vector embeddings pipeline |
openstack-lightspeed/operator |
Contributor | Kubernetes operator automating Lightspeed deployment on OpenShift |
lightspeed-core/lightspeed-providers |
Contributor | Custom LLM provider adapters for Llama Stack |
lightspeed-core/rag-content |
Contributor | Shared RAG tooling — chunking, embedding, vector DB generation |
🎓 MEng, Electronic & Computer Engineering — Dublin City University, Ireland (2024–2025) 🎓 BE, Electronics & Telecommunication Engineering — University of Mumbai, India (2020–2024)
- AWS Cloud Essentials Certified
- Patent: Smart Attendance System
- Winner — VCET National Project Competition
- Runner-up — TSEC National Level Hackathon
- Student Ambassador & Demonstrator — Dublin City University
Building production AI systems that help people work smarter — one commit at a time.