Ayoola Olafenwa is an AI Engineer based in London with six years of experience building production-ready machine learning systems and developer tools. He blends practical software engineering—CI/CD, Docker, Pulumi, Azure, and deployment optimizations like ONNX and TensorRT—with research-driven work on LLM-based multi-agent RAG workflows and retriever/writer/verifier orchestration. He created PixelLib, a popular open-source Python library for semantic and instance segmentation with over 212k PyPI installs and strong GitHub traction, demonstrating an ability to turn research models into widely adopted developer tooling. At BrandBrigade he focuses on distributed and mixed-precision training pipelines; previously he delivered scalable cloud-native APIs and stateful services at DeepQuest AI. Comfortable spanning model training, evaluation, and high-performance inference, he often connects agents to heterogeneous data sources for reliable RAG systems. Beyond coding, he has a track record of shipping accessible open-source projects that bridge academic techniques and real-world engineering.
Contributions:11 releases, 16 pushes, 1 branch in 2 years 5 months
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