Machine Learning EngineerVictor Ouma
What I Do
End-to-End ML Pipelines: From data preprocessing and feature engineering to model training and evaluation.
LLM Fine-Tuning & RAG: Customizing open-source models (like LLaMA or Mistral) and building Retrieval-Augmented Generation systems for your proprietary data.
Predictive Analytics: Forecasting, churn prediction, recommendation engines, and anomaly detection.
Computer Vision & NLP: Image classification, object detection, sentiment analysis, and text extraction.
Deliverables
Every project is unique, but a standard engagement typically includes:
Exploratory Data Analysis (EDA) Report: A clear breakdown of your data health and feasibility before we write core code.
Trained Model Artifacts: The optimized, high-performing model weights and architecture.
Production-Ready API/Codebase: Clean, documented GitHub repository with an API endpoint for seamless integration into your existing software.
Documentation & Handover: A concise guide detailing how to run, monitor, and retrain the model.
Starting at$800
Duration3 weeks
Tags
Python
Streamlit
ML Engineer
Service provided by
Victor Ouma Nairobi, Kenya
Machine Learning EngineerVictor Ouma
Starting at$800
Duration3 weeks
Tags
Python
Streamlit
ML Engineer
What I Do
End-to-End ML Pipelines: From data preprocessing and feature engineering to model training and evaluation.
LLM Fine-Tuning & RAG: Customizing open-source models (like LLaMA or Mistral) and building Retrieval-Augmented Generation systems for your proprietary data.
Predictive Analytics: Forecasting, churn prediction, recommendation engines, and anomaly detection.
Computer Vision & NLP: Image classification, object detection, sentiment analysis, and text extraction.
Deliverables
Every project is unique, but a standard engagement typically includes:
Exploratory Data Analysis (EDA) Report: A clear breakdown of your data health and feasibility before we write core code.
Trained Model Artifacts: The optimized, high-performing model weights and architecture.
Production-Ready API/Codebase: Clean, documented GitHub repository with an API endpoint for seamless integration into your existing software.
Documentation & Handover: A concise guide detailing how to run, monitor, and retrain the model.
$800