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I'm Adrian Deery, a Lead Data Scientist with 8 years of experience delivering industry-leading AI solutions in private healthcare. I've led end-to-end development of machine learning products, including two FDA 510(k) clearances for automated ECG analysis, and deployed solutions on embedded devices and cloud platforms for the U.S. healthcare market. Most recently I architected a scalable ML platform on Google Cloud Platform with modern MLOps (experiment tracking, version control, model monitoring). I blend technical leadership with business acumen, shaping product strategy with stakeholders, and I enjoy presenting research at conferences and exploring AI applications in pathology and hypothesis testing.…I'm Adrian Deery, a Lead Data Scientist with 8 years of experience delivering industry-leading AI solutions in private healthcare. I've led end-to-end development of machine learning products, including two FDA 510(k) clearances for automated ECG analysis, and deployed solutions on embedded devices and cloud platforms for the U.S. healthcare market. Most recently I architected a scalable ML platform on Google Cloud Platform with modern MLOps (experiment tracking, version control, model monitoring). I blend technical leadership with business acumen, shaping product strategy with stakeholders, and I enjoy presenting research at conferences and exploring AI applications in pathology and hypothesis testing.

Adrian Deery

Data Scientist, AI Engineer, AI Developer

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I'm Adrian Deery, a Lead Data Scientist with 8 years of experience delivering industry-leading AI solutions in private healthcare. I've led end-to-end development of machine learning products, including two FDA 510(k) clearances for automated ECG analysis, and deployed solutions on embedded devices and cloud platforms for the U.S. healthcare market. Most recently I architected a scalable ML platform on Google Cloud Platform with modern MLOps (experiment tracking, version control, model monitoring). I blend technical leadership with business acumen, shaping product strategy with stakeholders, and I enjoy presenting research at conferences and exploring AI applications in pathology and hypothesis testing.…I'm Adrian Deery, a Lead Data Scientist with 8 years of experience delivering industry-leading AI solutions in private healthcare. I've led end-to-end development of machine learning products, including two FDA 510(k) clearances for automated ECG analysis, and deployed solutions on embedded devices and cloud platforms for the U.S. healthcare market. Most recently I architected a scalable ML platform on Google Cloud Platform with modern MLOps (experiment tracking, version control, model monitoring). I blend technical leadership with business acumen, shaping product strategy with stakeholders, and I enjoy presenting research at conferences and exploring AI applications in pathology and hypothesis testing.

Available to hire

I’m Adrian Deery, a Lead Data Scientist with 8 years of experience delivering industry-leading AI solutions in private healthcare. I’ve led end-to-end development of machine learning products, including two FDA 510(k) clearances for automated ECG analysis, and deployed solutions on embedded devices and cloud platforms for the U.S. healthcare market.

Most recently I architected a scalable ML platform on Google Cloud Platform with modern MLOps (experiment tracking, version control, model monitoring). I blend technical leadership with business acumen, shaping product strategy with stakeholders, and I enjoy presenting research at conferences and exploring AI applications in pathology and hypothesis testing.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Lead Data Scientist at B-Secur

March 1, 2018 - February 1, 2026

Delivered 2 FDA 510k clearances for automated ECG analysis algorithms, leading end-to-end development from clinical & market requirements gathering through algorithm development, validation, regulatory submission, and market clearance. Architected & implemented post-market surveillance system with automated distribution shift monitoring to ensure FDA compliance and early detection of model degradation. Designed end-to-end ML infrastructure including a GCP data lake, MLflow for experiment tracking, and DVC for data version control. Led clinical validation studies across thousands of patients, coordinated with cardiologists, and produced evidence for FDA submissions. Built a Gemini-powered natural language query interface for a clinical data lake to enable non-technical stakeholders to query datasets in natural language. Collaborated with CTO and Head of Product to shape product roadmap and translated clinical needs into technical requirements. Allocated 10-20% of time to develop and val

Data Scientist at Sonrai Analytics

October 1, 2021 - March 1, 2022

Led the algorithm development of a deep learning system using computer vision to identify microsatellite instability (MSI) in H&E stained whole slide images (WSI) for colorectal cancer pathology. Worked with NHS cohorts, AWS S3 for large image data, PyTorch, multiple instance learning, and HPC for parallel training. Presented to NHS patient groups to gather feedback and educate on AI in medicine. Developed the statistical framework and power analysis for a CE Class IIB submission, including non-inferiority testing against gold standards.