
mugisha leobeni
@mugishaleobeni
AI Engineer at Google for Developers building production-ready machine learning systems.
What I'm looking for
At Google for Developers, I work as an AI Engineer, bridging experimental machine learning models and production systems.
I focus on scalable architectures and fine-tuning large language models, with the goal of making AI practical and cost-effective for enterprise users.
My work includes deploying end-to-end ML pipelines and optimizing model performance and cloud computing costs.
I use Python, PyTorch, Hugging Face, and LangChain, alongside Docker, Kubernetes, AWS, and vector databases.
Experience
Work history, roles, and key accomplishments
AI Engineer
Google for Developers
Feb 2024 - Present (2 years 8 months)
Designs scalable architectures, fine-tunes large language models, and reduces inference latency for high-traffic applications. Deploys end-to-end ML pipelines and optimizes model performance to cut cloud computing costs by 30%.
Education
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mugisha hasn't added their education
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