Oluwatimilehin Ogidan

About

Machine learning engineer and emerging leader applying AI and data-driven systems to solve complex problems, with experience spanning technical development, product deployment, and community impact.

Experience

• Machine learning Engineer · Aevo Technologies12-01-2025 – 02-28-2026

  • Engineered feature pipelines spanning 50+ features with data-leakage prevention mechanisms, improving model predictive performance by 8% while ensuring reliable evaluation. • Developed and deployed an NFL prediction engine using Scikit-Learn and AWS EC2, trained on 285+ historical games to achieve 70% prediction accuracy. • Developed a tennis prediction engine, achieving 79% accuracy across 1,754 historical matches to support more profitable betting strategies. • Implemented AWS Kinesis-based streaming architecture enabling real-time game data processing.

• Machine learning Engineer · Analytics Intelligence Africa04-01-2024 – 08-31-2024

  • Built a tomato disease detection model achieving 92% accuracy using AWS SageMaker. • Co-developed CI/CD pipelines enabling automated model deployment and rollout. • Identified annotation workflow bottlenecks, secured leadership buy-in, and supervised feature implementation.

• Technical Writer · Pieces for Developers10-01-2023 – 02-29-2024

  • Authored technical content on LLM applications and AI tools for developer audiences. • Conducted extensive research on emerging AI technologies and translated findings into practical guides.

Education

• Federal University Oye-EkitiB. Eng, Mechatronics Engineering

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