Raphael Avocegamou is a software engineer specializing in machine learning with eight years of experience building production-grade systems across research and industry. He has delivered end-to-end ML platforms and real-time on-device inference (TensorFlow Lite) for large-scale computer vision workloads, and designed CI/CD, training workflows and RAG-enabled semantic search that powered 100K+ image pipelines. His background blends bioinformatics and web-scale engineering—having built GWAS and proteome MR pipelines on HPC and interactive data visualization tools used by research teams. Raphael has led small engineering teams, established ML integration best practices, and repeatedly converted proofs-of-concept into low-latency production services. Comfortable across JavaScript, Python, AWS, Docker and MongoDB, he pairs pragmatic system design with algorithmic optimization (e.g., speeding pipelines by 83%). Based in Cotonou and Canada, he combines academic rigor from a MS in Biomathematics with entrepreneurial product experience as a co-founder.
8 years of coding experience
6 years of employment as a software developer
Master of Science - MS Biomathematics Bioinformatics and Computational Biology, Master of Science - MS Biomathematics Bioinformatics and Computational Biology at Université de Montréal
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Université d'Abomey-Calavi
Contributions:14 pushes, 1 branch in 4 years 2 months
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Raphael Avocegamou - Software Engineer, Machine Learning at Centiro