Expert AI/Machine Learning Engineer in building AI solutions by Gideon OboroExpert AI/Machine Learning Engineer in building AI solutions by Gideon Oboro
Expert AI/Machine Learning Engineer in building AI solutionsGideon Oboro
I help businesses turn raw data into smart, AI-driven solutions. Whether you need a recommendation system, predictive model, or a chatbot, I’ll build, deploy, and optimize it for real-world performance. Feel free to contact me.
What's included
1. Data Processing & Exploration
✅ Cleaned and preprocessed dataset (CSV, Parquet, or database storage)
✅ Data preprocessing scripts (Python scripts or Jupyter Notebooks)
✅ Exploratory Data Analysis (EDA) report with visualizations and insights
2. Model Development & Training
✅ Feature engineering and selection report
✅ Baseline model with performance metrics
✅ Trained machine learning model with optimal hyperparameters
✅ Model evaluation report (precision, recall, accuracy, AUC, etc.)
3. Model Deployment & Integration
✅ Packaged model in a deployable format (ONNX, TensorFlow SavedModel, PyTorch, etc.)
✅ REST API for model inference (FastAPI/Flask/Django)
✅ Deployment setup on cloud (AWS, Azure, GCP) or on-premise
✅ Docker container with all dependencies for easy deployment
4. Performance Optimization & Scalability
✅ Optimized model for faster inference (quantization, pruning, distillation)
✅ Caching mechanism for reducing latency (Redis, Memcached)
✅ Scalable pipeline for retraining and updating the model
5. Monitoring & Maintenance
✅ Logging and monitoring setup (Prometheus, ELK Stack)
✅ Model drift detection system with retraining triggers
✅ Scheduled model updates and performance reports
6. Documentation
✅ Codebase with clear documentation (README, docstrings)
✅ API documentation (Swagger/OpenAPI)
✅ User guide for model usage and integration
✅ Final report with project summary and recommendations
Expert AI/Machine Learning Engineer in building AI solutionsGideon Oboro
Contact for pricing
Tags
AWS
Azure
Python
scikit-learn
TensorFlow
AI Developer
AI Model Developer
ML Engineer
I help businesses turn raw data into smart, AI-driven solutions. Whether you need a recommendation system, predictive model, or a chatbot, I’ll build, deploy, and optimize it for real-world performance. Feel free to contact me.
What's included
1. Data Processing & Exploration
✅ Cleaned and preprocessed dataset (CSV, Parquet, or database storage)
✅ Data preprocessing scripts (Python scripts or Jupyter Notebooks)
✅ Exploratory Data Analysis (EDA) report with visualizations and insights
2. Model Development & Training
✅ Feature engineering and selection report
✅ Baseline model with performance metrics
✅ Trained machine learning model with optimal hyperparameters
✅ Model evaluation report (precision, recall, accuracy, AUC, etc.)
3. Model Deployment & Integration
✅ Packaged model in a deployable format (ONNX, TensorFlow SavedModel, PyTorch, etc.)
✅ REST API for model inference (FastAPI/Flask/Django)
✅ Deployment setup on cloud (AWS, Azure, GCP) or on-premise
✅ Docker container with all dependencies for easy deployment
4. Performance Optimization & Scalability
✅ Optimized model for faster inference (quantization, pruning, distillation)
✅ Caching mechanism for reducing latency (Redis, Memcached)
✅ Scalable pipeline for retraining and updating the model
5. Monitoring & Maintenance
✅ Logging and monitoring setup (Prometheus, ELK Stack)
✅ Model drift detection system with retraining triggers
✅ Scheduled model updates and performance reports
6. Documentation
✅ Codebase with clear documentation (README, docstrings)
✅ API documentation (Swagger/OpenAPI)
✅ User guide for model usage and integration
✅ Final report with project summary and recommendations