02/21/2026 updated
100 % available
AI/ML Engineer and Applied ML Researcher
Lekki, Nigeria
Worldwide
MSc Financial EngineeringAbout me
AI/ML Engineer with 6+ years of experience building data ingestion pipelines, conducting exploratory and statistical analysis, and applying advanced ML/AI techniques, including model fine-tuning, optimization, and integrating AI/ML systems into business applications.
Java (Programming Language)Artificial IntelligenceAmazon Web ServicesData AnalysisArtificial Neural NetworksMicrosoft AzureBusiness SoftwareCloud ComputingContinuous IntegrationCustomer ProfitabilityData MiningE-CommerceEnergy TechnologyForecastingR (Programming Language)
Machine Learning and AI Systems Development
Advanced expertise in building production-ready ML pipelines, model fine-tuning, hyperparameter optimization, and integrating AI/ML systems into business applications with focus on fintech, energy, and digital commerce domains
Data Analytics and Statistical Analysis
Comprehensive experience in conducting customer profitability analysis, statistical hypothesis testing, exploratory data analysis, and developing forecasting models for business insights and decision-making
Python Programming and Data Science Tools
Proficient in Python, R, Java programming languages with extensive knowledge of data science libraries including Numpy, Scipy, Pandas, Matplotlib, Seaborn, Plotly, and Scikit Learn
Deep Learning and Neural Networks
Experience with TensorFlow, Keras, PyTorch frameworks for building neural networks including CNN for object segmentation and LSTM for stock price forecasting
Cloud Computing Platforms
Knowledge of cloud services including GCP, Azure, and AWS for scalable ML deployment and data processing
Database Management and SQL
SQL database skills for data extraction, transformation, and analytics pipeline development
API Development and Integration
Experience in packaging AI models into REST APIs using Flask and Fast API for system integration
Version Control and Model Deployment
Git version control and model deployment expertise for continuous integration and deployment workflows
Advanced expertise in building production-ready ML pipelines, model fine-tuning, hyperparameter optimization, and integrating AI/ML systems into business applications with focus on fintech, energy, and digital commerce domains
Data Analytics and Statistical Analysis
Comprehensive experience in conducting customer profitability analysis, statistical hypothesis testing, exploratory data analysis, and developing forecasting models for business insights and decision-making
Python Programming and Data Science Tools
Proficient in Python, R, Java programming languages with extensive knowledge of data science libraries including Numpy, Scipy, Pandas, Matplotlib, Seaborn, Plotly, and Scikit Learn
Deep Learning and Neural Networks
Experience with TensorFlow, Keras, PyTorch frameworks for building neural networks including CNN for object segmentation and LSTM for stock price forecasting
Cloud Computing Platforms
Knowledge of cloud services including GCP, Azure, and AWS for scalable ML deployment and data processing
Database Management and SQL
SQL database skills for data extraction, transformation, and analytics pipeline development
API Development and Integration
Experience in packaging AI models into REST APIs using Flask and Fast API for system integration
Version Control and Model Deployment
Git version control and model deployment expertise for continuous integration and deployment workflows
Languages
GermanBasic knowledgeEnglishFluent
Project history
Built production-ready pipelines for data ingestion, preprocessing, model training, and inference for Python, cloud services, and workflow orchestration tools. Implemented LLM-based applications and packaged AI models into REST APIs.
Conducted customer profitability analysis, developed sales forecasting pipeline, created recommender systems, and automated data extraction and analytics pipelines for business insights.
Utilized data visualization to track maintenance and inspection periods for fire extinguishing systems, developed interactive dashboards, and used historical data for demand forecasting.
Certificates
AI/ML Engineering Professional Certificate
Microsoft2025