Kalu Ogbureke is a research engineer with eight years of experience specializing in speech technology, machine learning, and deployable MLOps solutions, currently based in Cologne. He has built and optimized ASR and dialog components—from Kaldi acoustic models and inverse text normalizers to LiveASR microservices—and integrated Whisper and LLMs (GPT-3.5/4, LangChain) into production speech assistants. His work spans industry adoptions, including localizing voice assistants for Samsung’s Bixby and deploying a hospital chat system that improved UX through LangChain-driven workflows. Comfortable bridging research and engineering, he has improved out-of-vocabulary handling and robustness in Whisper, showing a knack for practical model adaptation. With a PhD-level research background and hands-on experience managing collaborative codebases, he is focused on scalable, reproducible ML systems and is actively expanding into Kubernetes-driven deployments.
8 years of coding experience
6 years of employment as a software developer
BEng., Electrical and Electronics Engineering, BEng., Electrical and Electronics Engineering at Federal University of Technology Owerri Nigeria
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University College Dublin
MSc, Signal Processing, MSc, Signal Processing at University of Bristol
An Implementation of Mutli-layer Perceptron in C++
Contributions:2 releases, 77 commits, 2 PRs in 2 years 4 months
cppperceptronc-plus-pluscpp17raii
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Kalu Ogbureke - Research Engineer at Fraunhofer IAIS