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I'm a AI Engineer with 5+ years building and deploying AI-powered features in production. I specialize in GenAI, agentic pipeline design, and reusable AI evaluation frameworks. I research cutting-edge AI technology and apply it to real products. My MSc involved fine-tuning multimodal LLMs, designing adaptive RAG pipelines with embedding-based retrieval and confidence-based evaluation, and deploying under real-time constraints. I've shipped churn prediction, demand forecasting, and recommendation systems with CI/CD and containerised deployment, and I write clean, tested Python. I'm looking for a role where I can research new AI tech and deliver it as intelligent features that benefit real users.…I'm a AI Engineer with 5+ years building and deploying AI-powered features in production. I specialize in GenAI, agentic pipeline design, and reusable AI evaluation frameworks. I research cutting-edge AI technology and apply it to real products. My MSc involved fine-tuning multimodal LLMs, designing adaptive RAG pipelines with embedding-based retrieval and confidence-based evaluation, and deploying under real-time constraints. I've shipped churn prediction, demand forecasting, and recommendation systems with CI/CD and containerised deployment, and I write clean, tested Python. I'm looking for a role where I can research new AI tech and deliver it as intelligent features that benefit real users.

JAMIU BABATUNDE ABIMBOLA

AI Engineer, Data Scientist, Data Analyst, +2

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I'm a AI Engineer with 5+ years building and deploying AI-powered features in production. I specialize in GenAI, agentic pipeline design, and reusable AI evaluation frameworks. I research cutting-edge AI technology and apply it to real products. My MSc involved fine-tuning multimodal LLMs, designing adaptive RAG pipelines with embedding-based retrieval and confidence-based evaluation, and deploying under real-time constraints. I've shipped churn prediction, demand forecasting, and recommendation systems with CI/CD and containerised deployment, and I write clean, tested Python. I'm looking for a role where I can research new AI tech and deliver it as intelligent features that benefit real users.…I'm a AI Engineer with 5+ years building and deploying AI-powered features in production. I specialize in GenAI, agentic pipeline design, and reusable AI evaluation frameworks. I research cutting-edge AI technology and apply it to real products. My MSc involved fine-tuning multimodal LLMs, designing adaptive RAG pipelines with embedding-based retrieval and confidence-based evaluation, and deploying under real-time constraints. I've shipped churn prediction, demand forecasting, and recommendation systems with CI/CD and containerised deployment, and I write clean, tested Python. I'm looking for a role where I can research new AI tech and deliver it as intelligent features that benefit real users.

Available to hire

I’m a AI Engineer with 5+ years building and deploying AI-powered features in production. I specialize in GenAI, agentic pipeline design, and reusable AI evaluation frameworks.

I research cutting-edge AI technology and apply it to real products. My MSc involved fine-tuning multimodal LLMs, designing adaptive RAG pipelines with embedding-based retrieval and confidence-based evaluation, and deploying under real-time constraints. I’ve shipped churn prediction, demand forecasting, and recommendation systems with CI/CD and containerised deployment, and I write clean, tested Python. I’m looking for a role where I can research new AI tech and deliver it as intelligent features that benefit real users.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

Operations Data Assistant at Retail and Asset Solutions (RAS)

January 1, 2024 - Present

Improved inventory data accuracy by 15% across 50+ UK retail locations by designing automated data validation pipelines and deploying quality assurance checks within an agile, sprint-based workflow. Reduced operational reporting turnaround time by 25% by building ETL-driven analytics dashboards and iterating on deliverables through experiment-driven development cycles with cross-functional stakeholders. Delivered actionable inventory insights to senior operations leads, measured by adoption rate across regional teams, by designing interactive data visualisations in Power BI and translating complex analytics into clear, decision-ready reporting for non-technical audiences.

Data Scientist at Kokoberry Global Enterprise

January 1, 2021 - December 31, 2024

Optimised marketing effectiveness by deploying a customer segmentation platform that increased conversion rates by 25%, analysing customer behaviour data to position the right message to the right audience, directly analogous to marketing spend optimisation and personalisation. Built and deployed a churn prediction model that improved customer retention by 20% across three product lines, production-ready ML with automated CI/CD, and monitored for long-term accuracy. Designed a demand forecasting system reducing inventory costs by 20%, proof-of-concept tested, validated against business baselines, then scaled to production across the full product catalogue. Managed stakeholders across marketing, operations, and leadership, balancing ambitious analytical goals with achievable delivery timelines, presenting insights and discussing recommendations with the wider business. Led agile cross-functional teams of 10+, accelerating delivery by 30% through collaborative, iterative development.

Data Analyst at Centre for Management Development (CMD)

January 1, 2017 - December 31, 2020

Reduced insight extraction time by 20% for financial institution datasets by automating data mining processes with Python scripts and deploying scheduled batch processing workflows. Improved data readiness by 30%, measured by reduction in preprocessing bottlenecks, by building and deploying custom ETL pipelines transforming raw data into ML-ready MySQL databases within an agile delivery framework. Accelerated reporting delivery for senior management, measured by 40% reduction in ad-hoc request turnaround, by designing reusable Python-based data processing templates and standardising analytical workflows across the department.