Open to opportunities

Olaniyi Babatunde

@olaniyibabatunde

Message

I’m a Data Scientist specializing in AI/ML, MLOps, and RAG-based LLM evaluation for production-grade impact.

United Kingdom

Message

What I'm looking for

I’m looking for a team where I can build and evaluate LLM/RAG systems, run MLOps for reliable deployment, and apply ethical, GDPR-ready analytics to deliver measurable business outcomes.

I’m an AI/ML-focused Data Scientist who builds production-grade systems—especially LLM evaluation and Retrieval-Augmented Generation (RAG)—with a strong emphasis on ethical AI principles. At Mercor, I evaluate large language models across reasoning, factual grounding, instruction adherence, retrieval quality, and hallucination rates, and I run end-to-end RAG pipeline assessments to identify failure modes like retrieval misses, prompt sensitivity, and context over-reliance.

I also lead end-to-end R&D initiatives, designing and deploying RAG systems that ground LLM responses using curated PDF/CSV knowledge bases, plus NLP pipelines for domain-specific chatbots. From TensorFlow and PyTorch model deployment to automated retraining, monitoring, and drift detection via MLOps pipelines (AWS SageMaker / Azure ML / Databricks), I’ve delivered “90%+” real-world performance and mentored junior data scientists on clean Python and reproducibility.

Experience

Work history, roles, and key accomplishments

Current

Compliance Caseworker

Current

Hm Revenue & Customs

Jan 2025 - Present (1 year 7 months)

Conducted tax compliance investigations under the Income Tax Self-Assessment (ITSA) regime using a data-driven, evidence-based approach. Analyzed large datasets to identify compliance risks, assessed liabilities using UK tax legislation, and produced documentation and reports for robust, litigation-ready case outcomes.

Compliance Investigation Risk Assessment UK Tax Legislation Compliance Documentation Peer Review Knowledge Sharing

Current

Data Scientist

Current

Enrich Digital Technologies

Jan 2024 - Present (2 years 7 months)

Led end-to-end R&D across data science and applied AI, delivering production-grade RAG and NLP solutions from problem framing to deployment. Implemented LLM evaluation frameworks, deployed deep learning models with monitoring/drift detection via MLOps pipelines, and achieved 90%+ real-world performance across production ML/NLP workloads.

Current

Data Scientist (Expert Contributor)

Current

Mercor

Jan 2024 - Present (2 years 7 months)

Focused on evaluation of large language models, including RAG-enabled systems, with benchmark design and end-to-end retrieval pipeline assessment. Conducted error analysis and provided structured scoring to support continuous improvement of model training and inference.

RAG Systems Retrieval Accuracy Embedding Quality Systematische Fehleranalyse Prompt Sensitivity Downstream Generation Evaluation

Data Scientist

Freelance

Jan 2022 - Jan 2024 (2 years)

Delivered end-to-end analytics and ML solutions across healthcare, e-commerce, and optimization use cases, including supervised ML, NLP, deep learning, and forecasting. Built cloud-native ML pipelines on AWS and implemented models such as Random Forests and CNNs for prediction tasks.

SQL Statistical Modeling AWS S3 DynamoDB EC2 VPC Amazon Machine Images Supervised Learning Random Forest NLP Sentiment Analysis Topic modeling R CNN MRI Image Classification Reinforcement Learning ARIMA

Operations and Maintenance Technician

Coca-Cola Hellenic Bottling Company

Jan 2019 - Jan 2023 (4 years)

Performed autonomous maintenance on bottling line equipment and led lean cost-improvement projects to enhance material yield. Developed SOPs (including cleaning in place) and maintained accurate maintenance and operations records.

Autonomous Maintenance Bottling Line Equipment Maintenance SOP Development