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Ademola Babatunde

@ademolababatunde

Message

Senior Machine Learning Engineer specializing in LLMs, MLOps, and AI productization.

United States

Message

What I'm looking for

I seek roles that let me build and scale LLM-driven products with strong MLOps practices, collaborative teams, and measurable impact on automation and NLP use cases.

I am a Senior Machine Learning Engineer with 8+ years building applied ML and AI products, specializing in LLMs, generative AI, prompt engineering, and model fine-tuning. I design and deploy PoC and production services using FastAPI, Docker, Kubernetes, and cloud MLOps tools to scale NLP and automation solutions.

My work spans healthcare analytics and AI-driven software testing—delivering measurable impact such as 25% improved model output relevance and 30% reduction in manual review workload. I collaborate across engineering and product teams to implement evaluation frameworks, CI/CD pipelines, and secure integrations complying with enterprise requirements.

Experience

Work history, roles, and key accomplishments

Current

Senior Machine Learning Engineer

Current

AI Solutions

Jan 2021 - Present (4 years 8 months)

Developed and fine-tuned LLMs (GPT-4, Hugging Face) and built FastAPI PoCs to integrate generative AI into testing workflows, improving model output relevance by 25% and enabling productionization of ML prototypes.

GPT 4 Prompt Engineering fastAPI PyTorch MLFlow Docker CI CD

Data Scientist / ML Engineer

HealthTech Analytics

Feb 2017 - Dec 2020 (3 years 10 months)

Applied NLP and predictive models to clinical notes and claims, reducing manual review workload by 30% and integrating compliant ML solutions into SaaS products.

NLP scikit learn XGBoost Python A B Testing

Lead Data Analyst

InsightNexus

Jul 2014 - Jan 2017 (2 years 6 months)

Built analytics pipelines and dashboards using SQL and Python to monitor model outputs and business KPIs, delivering insights that improved operational efficiency.