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Joseph Adeoye Ogunye

@josephadeoyeogunye

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Machine Learning Engineer focused on production-ready ML systems for scalable, reliable predictions and detection.

Nigeria

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What I'm looking for

I’m looking for a role where I can build production-grade ML systems end-to-end—pipelines, serving, monitoring, and reliability improvements. I want a fast-paced environment that values scalability, clear stakeholder communication, and continuous learning.

I’m a Machine Learning Engineer with 5+ years building, deploying, and maintaining production-ready ML models and services. I work across demand forecasting, time-series and ETA-style prediction, recommendations, operational optimization, and fraud/anomaly detection—bringing strong Python and software-engineering fundamentals to every stage.

I build ML pipelines, feature-engineering workflows, and model-serving infrastructure, then monitor performance and reliability in production. In my recent roles, I’ve owned the full lifecycle: deployment with FastAPI and Docker, experiment tracking in MLflow, and automated CI/CD via GitHub Actions—along with drift detection and retraining to keep models dependable.

I also care deeply about scalability, reliability, and performance, optimizing inference latency, throughput, and memory. Whether it’s tiered, risk-based alerting for fraud or fine-tuning LLM pipelines with Hugging Face Transformers for retrieval, I communicate clearly with technical and non-technical stakeholders and thrive in fast-paced environments with evolving priorities.

Experience

Work history, roles, and key accomplishments

LLM / AI Trainer

Turing

Jun 2025 - Jan 2026 (7 months)

Built and evaluated production-grade benchmark systems for large language models and agentic workflows, using rigorous quality standards. Engineered deterministic evaluators to detect model failure modes and supported collaboration via Git workflows.

Large Language Models LLM Benchmarking Model Evaluation Git

Python / ML Instructor

FemTech Institute

Jan 2023 - Apr 2025 (2 years 3 months)

Taught Python and machine learning to 100+ students and supervised capstone projects in predictive modeling and NLP. Provided code review feedback focused on clean, maintainable, production-quality practices for non-technical learners.

Python Machine Learning predictive modeling NLP Code Review

AI Engineer

PAI3

Feb 2024 - Jan 2025 (11 months)

Built, deployed, and maintained production-ready ML models and services across forecasting/time-series, NLP, and computer-vision workloads. Owned the full model lifecycle including monitoring, drift detection, retraining, and experiment tracking with CI/CD.

Python Developer

Artech Solutions

Feb 2022 - Dec 2022 (10 months)

Built batch data pipelines orchestrated with Apache Airflow and processed large-scale data with Apache Spark to support operational optimization. Ran A/B tests and data-driven experimentation, and collaborated on Git-based code reviews.

Python Airflow Apache Spark Data Pipelines A B Testing Experimentation Data Driven Decision Making Git Code Review

Machine Learning Engineer

Face Magic Consults

Jan 2020 - Jan 2021 (1 year)

Built Python data collection, preprocessing, and feature-preparation scripts to improve data quality for downstream ML. Produced weekly analytics and visualizations and supported team best practices for data handling and version control.