// MLOps · Agentic AI · Cloud
Senior ML / MLOps Engineer & Agentic AI Developer
5+ years across the full ML lifecycle, feature engineering to large-scale production on Azure, GCP and Kubernetes. Today I build LLM agents with LangGraph, serve open-weight models on vLLM, and turn messy data into systems that drive product decisions.
Senior ML/MLOps engineer with a strong Python/SQL foundation and a research background, MSc in Statistics & Operations Research and six peer-reviewed publications applying ML and optimization to real forecasting and decision problems.
My recent work centres on agentic AI: LLM agents built with LangGraph, CrewAI and LangChain, served through FastAPI and operated via lightweight React interfaces. I care about the whole path, batching and quantisation for cheap self-hosted inference, CI/CD and Terraform for reproducibility, and SecDevOps checks (tool permissions, prompt injection) for agent workloads.
Strong interest in recommender systems, ranking and personalization.
Hands-on lab covering Triton GPU kernels and vLLM internals, with Docker and Colab support.
Generative AI and large-language-model studies, prototypes and experiments.
Reusable, Terraform-defined cloud infrastructure.
Autonomous PR builder: deterministic loop + Azure AI Foundry agent that repairs failing CI, stopping at a human gate.
Journal covering the latest AI and cybersecurity hot topics.
// Let's talk
Open to work on innovative AI & Cloud projects, and to collaboration on agentic systems and ML in production.