Mobolaji F. is a results-driven Machine Learning, AI, and MLOps engineer with 4+ years of experience designing, building, and deploying end-to-end ML solutions that reduce manual reporting by 85%, boost model accuracy by 20%+, and cut deployment times by 60%, with proven impact on user engagement, retention, and signups; he excels in data preprocessing, feature engineering, model training, hyperparameter optimization, predictive analytics, statistical analysis, data analytics, data visualization, data modeling, deep learning, natural language processing, backend and API development, RESTful APIs, relational databases, data profiling, project management, version control (Git), and ad hoc analysis, using Python, R, JavaScript, HTML, CSS, XML, C#, MongoDB Query Language, Microsoft SQL, MySQL, PostgreSQL, MongoDB, scikit-learn, TensorFlow, PyTorch, FastAPI, Docker, AWS, GCP, Azure, Azure AI Foundry, Azure Machine Learning, Tableau, Microsoft Power BI, Matplotlib, Seaborn, DAX, NumPy, and Pandas, alongside collaboration and productivity tools including Slack, Team Viewer, Zoom, Google Meet, Microsoft Word, Access, Excel, PowerPoint, and Google Docs, Sheets, Slides; his experience spans building real-time ML APIs and containerized deployments to Azure at 10Alytics and developing Power BI dashboards, real-time data integrations, churn prediction, and personalized recommendations at Simplified UX, with additional evidence of strong algorithmic and systems acumen demonstrated by high performance on LRU cache, longest substring, API rate limiting, and real-time data accuracy challenges; he also showcases practical delivery through projects like a Heart Disease Risk Checker and brings a strong educational foundation with a BSc and certifications in Full Stack Data Science, SQL for database management, Google Data Analytics, and business analysis.