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I am an Applied AI / ML Engineer with a Masters degree in Artificial Intelligence & Data Science (Distinction), combining scientific domain fluency with experience designing, building, and deploying production-grade AI systems across analytics, software, and user-facing applications. I specialise in translating ambiguous stakeholder requirements into well-scoped technical solutions, rapidly prototyping proofs of concept, assessing feasibility, and taking models through evaluation, API packaging, containerisation, and deployment with clear handover paths. In my current KTP role, I lead end-to-end AI delivery across academic and operational stakeholders, combining ML engineering, full-stack software delivery, data governance, and knowledge transfer.…I am an Applied AI / ML Engineer with a Masters degree in Artificial Intelligence & Data Science (Distinction), combining scientific domain fluency with experience designing, building, and deploying production-grade AI systems across analytics, software, and user-facing applications. I specialise in translating ambiguous stakeholder requirements into well-scoped technical solutions, rapidly prototyping proofs of concept, assessing feasibility, and taking models through evaluation, API packaging, containerisation, and deployment with clear handover paths. In my current KTP role, I lead end-to-end AI delivery across academic and operational stakeholders, combining ML engineering, full-stack software delivery, data governance, and knowledge transfer.

James Agba

Data Scientist, AI Engineer, Full Stack Developer, +1

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I am an Applied AI / ML Engineer with a Masters degree in Artificial Intelligence & Data Science (Distinction), combining scientific domain fluency with experience designing, building, and deploying production-grade AI systems across analytics, software, and user-facing applications. I specialise in translating ambiguous stakeholder requirements into well-scoped technical solutions, rapidly prototyping proofs of concept, assessing feasibility, and taking models through evaluation, API packaging, containerisation, and deployment with clear handover paths. In my current KTP role, I lead end-to-end AI delivery across academic and operational stakeholders, combining ML engineering, full-stack software delivery, data governance, and knowledge transfer.…I am an Applied AI / ML Engineer with a Masters degree in Artificial Intelligence & Data Science (Distinction), combining scientific domain fluency with experience designing, building, and deploying production-grade AI systems across analytics, software, and user-facing applications. I specialise in translating ambiguous stakeholder requirements into well-scoped technical solutions, rapidly prototyping proofs of concept, assessing feasibility, and taking models through evaluation, API packaging, containerisation, and deployment with clear handover paths. In my current KTP role, I lead end-to-end AI delivery across academic and operational stakeholders, combining ML engineering, full-stack software delivery, data governance, and knowledge transfer.

Available to hire

I am an Applied AI / ML Engineer with a Masters degree in Artificial Intelligence & Data Science (Distinction), combining scientific domain fluency with experience designing, building, and deploying production-grade AI systems across analytics, software, and user-facing applications.

I specialise in translating ambiguous stakeholder requirements into well-scoped technical solutions, rapidly prototyping proofs of concept, assessing feasibility, and taking models through evaluation, API packaging, containerisation, and deployment with clear handover paths. In my current KTP role, I lead end-to-end AI delivery across academic and operational stakeholders, combining ML engineering, full-stack software delivery, data governance, and knowledge transfer.

Skills

Experience Level

Expert

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Work Experience

KTP Associate – AI/ML Engineer at University of Southampton & First Step Trust

April 1, 2024 - Present

Applied AI engineer bridging academic research and industry delivery for a charity running vocational training programmes; sole technical lead for the design, build, and deployment of an AI-enabled learning support platform. Translated ambiguous stakeholder requirements from academic and operational teams into well-scoped ML, analytics, and software components, conducted feasibility assessments, defined success criteria, and produced handover plans for independent operation. Built and deployed recommendation and disengagement-risk scoring services, combining applied ML, behavioural data signals, and responsible data use principles into production-ready backend services. Designed backend APIs (Node.js/FastAPI), secure data pipelines, and real-time analytics workflows supporting learner monitoring and trainer decision-making, with GDPR-aware data handling and audit logging.

Founder & Data Scientist at WSLAnalytics – Automated Sports Analytics Platform

November 1, 2024 - Present

Founded and built an end-to-end analytics and AI platform for women’s football, covering data ingestion, predictive modelling, content generation workflows, and production analytics delivery across web and social channels. Developed ML pipelines for forecasting, ranking, and computer-vision-assisted event analysis, with emphasis on reproducibility, evaluation, and deployment automation. Built Python-based workflows for automated data processing, model execution, and insight generation, translating technical outputs into decision-ready narratives for non-technical audiences. Designed scalable experimentation workflows spanning modelling, prompt-based generation, structured outputs, and content automation, driving adoption to 1.6m+ impressions and 57k+ engagements in the first 6 months of launch.