Devin Ha is a Machine Learning Engineer based in Berlin with eight years of experience building ML-driven and full-stack systems for research labs and enterprise customers. He has a strong track record at John Snow Labs integrating large language and multimodal models into Apache Spark—adding inference for quantized models via llama.cpp, implementing tokenizers and preprocessing in Scala, and enabling TF/PyTorch/ONNX import paths. Devin has also delivered high-performance, business-critical C++ backends at Amadeus and built end-to-end NLP tooling and web apps in research settings, showing fluency across production engineering and applied research. He’s interested in XAI, NLP, and the math behind models, and has optimised memory and runtime for tokenizer pipelines—an example of his focus on making state-of-the-art ML practical at scale.
7 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Technische Universität Berlin
Contributions:1 review, 6 PRs, 414 pushes in 4 years
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Devin Ha - Machine Learning Engineer at Aignostics