Hai Tran
AI Researcher at AIMS
Brno - město, South Moravia, Czechia
Summary
👤
Senior🎓
Top SchoolHai Tran is an AI researcher with a decade of experience building and deploying machine learning systems, currently focused on music information retrieval at AIMS after leading LLM research at Seznam.cz. He specializes in the full ML lifecycle—token-level debugging, distributed multi-node multi-GPU training, vLLM deployment, synthetic data pipelines, and practical LLM evaluation for business use. Hai has hands-on expertise with PyTorch, HuggingFace, LangChain and production tooling (DVC, Snakemake, Docker) and balances using both open-weight and closed-source models to solve real-world problems. His Czech-speaking LLM work combined model fine-tuning, synthetic data generation and LLM-as-a-Judge evaluation, reflecting a pragmatic approach that filters hype from useful advances. Trained in AI (MSc) and applied informatics at Masaryk University, he also brings earlier full-stack and visualization experience from academic cyber-defense projects. Colleagues describe him as research-driven yet product-minded—equally comfortable in deep model debugging or shipping scalable ML services.
10 years of coding experience
6 years of employment as a software developer
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at Masaryk University Brno
Čeština, vietnamština, English, Španělština
Github Skills (51)
cuda10
pytorch9
amd9
llm9
datasets9
inference9
llama9
speech9
gpt9
transformer9
nlp8
computer-vision8
multiclass-classification8
mlops8
tpu8
Programming languages (4)
Github contributions (5)
tranhd95/advent-of-code-2020
Jun 2020 - Dec 2020
Contributions:52 commits, 42 pushes, 1 branch in 5 months
tranhd95/Mesh_brush
Nov 2017 - Mar 2021
Contributions:5 pushes, 1 branch in 3 years 3 months
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