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Lead Data & ML Engineer @ Dorsia | PhD in Deep Learning | Former Co-Founder | ex-CERN
I'm a machine learning engineer with a strong software development foundation. I started out as a developer, got hooked on building things, and eventually went deep into ML during my PhD, focusing on applied deep learning. Since then, I’ve worked across the full ML and data stack, building pipelines from scratch, scaling systems from a single database to full-on data warehouses, and shipping models into production. My work spans everything from targeted and large-scale web scraping to NLP, computer vision (particularly object tracking and re-ID), time series forecasting & analysis, and dynamic pricing. I’m used to working remotely across time zones and in teams from early-stage startups to international companies. I enjoy bridging the gap between technical work and broader business goals, making sure everyone’s on the same page and moving in the right direction.
Newcastle University
Doctor of Philosophy (Ph.D.), Machine Learning
January 1, 2016 – January 1, 2020
Northumbria University
BSc (Hons), Computer Science
January 1, 2011 – January 1, 2015
Dorsia
Lead Data & Machine Learning Engineer
May 1, 2023 – Present
Remote
Welcome: Real time travel plans
Lead Data & Machine Learning Engineer
March 1, 2020 – May 1, 2023
Remote
Northumbria University
Senior Research Associate
February 1, 2020 – March 1, 2020
Newcastle upon Tyne, United Kingdom
Fair Custodian
Co-Founder & Chief Scientific Officer
October 1, 2018 – February 1, 2020
Newcastle upon Tyne, United Kingdom
Newcastle University
Research Technician
October 1, 2015 – January 1, 2016
Newcastle upon Tyne, United Kingdom
CloudTrade
Software Engineer
July 1, 2015 – October 1, 2015
Newcastle Upon Tyne
CERN
Software Developer
June 1, 2013 – August 1, 2014
Meyrin, Geneva, Switzerland
Introduction to Learning and Teaching in Higher Education
Newcastle University
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across startups (Welcome, Fair Custodian), academia (Newcastle University, Northumbria University), and larger organizations (CERN, CloudTrade) indicates adaptability and a broad perspective. Their involvement in co-founding a company and leading research projects suggests an entrepreneurial spirit and a drive for innovation. The focus on real-world problem-solving (cancer detection, health monitoring in pigs, customer email analysis) aligns with a results-driven culture. The target role of ML Engineer aligns well with their deep technical expertise and leadership experience in ML.
Soft Skills & Operational Fit
The candidate's experience as a Lead Data & Machine Learning Engineer at multiple companies, including an early-stage startup, suggests strong leadership, problem-solving, and strategic thinking skills. Their role in coordinating cross-functional projects and managing contractors indicates good collaboration and operational management capabilities. The description of optimizing models for production and deploying on Kubernetes points to a practical, results-oriented approach.