Owain Cisuelo

Senior ML & Software Engineer specialising in real‑time data ingestion pipelines, large‑scale distributed systems, and applied machine‑learning solutions deployed in production. I build scalable cloud‑agnostic architectures across Azure, GCP, and AWS, and low‑latency ML inference systems that operate reliably in fast‑moving, high‑ambiguity environments. I combine strong communication with autonomous execution and direct stakeholder collaboration to turn complex technical challenges into clear, actionable decisions.

I’ve delivered systems ranging from real‑time ML inference platforms for mobile health applications to event‑driven microservice architectures, high‑throughput ingestion pipelines, and large‑scale analytics platforms. to support business growth. I’ve taken products from prototype to production in start-up environments, including joining a health‑tech company as an early employee and supporting its growth to 80+ staff.

My applied ML work focused on physiological and biomedical data for personalised, non‑invasive monitoring using wearable sensors. This included developing deep‑learning models in Python/TensorFlow, building signal‑processing and denoising pipelines, and analysing large, noisy multimodal datasets within a multidisciplinary environment.

I work across the full software development lifecycle and have extensive experience with CI/CD, cloud infrastructure, and designing reliable, decoupled, maintainable systems that scale.