Ronald Kibet

I am an AI & Machine Learning Engineer with 4+ years designing, training, fine-tuning, and deploying end-to-end ML and Generative AI systems, delivering scalable production solutions that improve model accuracy and business outcomes. I build LLM-powered applications, retrieval-augmented generation (RAG) pipelines, multi-agent AI workflows, and GPU-accelerated cloud deployments using tools like Azure ML, Databricks, MLflow, Docker, and CI/CD.

I have a strong track record mentoring junior engineers and collaborating across teams to deploy production-grade models and data pipelines, including Spark-based ETL on Azure Data Lake, vector search with FAISS, and multi-agent orchestration with CrewAI. My projects include enterprise document Q&A, automated multi-agent research workflows, churn prediction, anomaly detection, and sales forecasting, demonstrating end-to-end ownership from experimentation to deployment.