Principal Technical Lead AI ML Solutions, MLOps, DevOps at Epic Games
London, England, United Kingdom
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Summary
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Ozan Caglayan is a Principal Technical Lead specializing in AI/ML solutions, MLOps and DevOps with 16 years of experience bridging research and production engineering. He holds a PhD in Neural Machine Translation and has driven multimodal language and vision projects at Imperial College and industry roles including Epic Games and conteX.ai. A hands-on researcher in NLP, MT and audiovisual understanding, he also has a foundation in biomedical signal processing and BCI from earlier academic work. Ozan is an active open-source contributor who has improved foundational tooling like sacrebleu and Theano/PyTensor, demonstrating attention to reproducibility and framework correctness. A prominent Linux power-user and scripting enthusiast, he brings deep systems-level familiarity to ML infrastructure and deployment. He prefers to focus on peaceful, civil sector work and avoids military/defense and banking engagements.
16 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Neural Machine Translation, M.Sc., Computer Engineering, 3.93, Undergraduate, Computer Engineering, Erasmus Programme, Computer Engineering, High School, Natural Sciences, Doctor of Philosophy (Ph.D.), Neural Machine Translation, M.Sc., Computer Engineering, 3.93, Undergraduate, Computer Engineering, Erasmus Programme, Computer Engineering, High School, Natural Sciences at Le Mans Université
Galatasaray Üniversitesi
Galatasaray Üniversitesi
Lycée Saint Joseph
Reference BLEU implementation that auto-downloads test sets and reports a version string to facilitate cross-lab comparisons
Role in this project:
Back-end Developer
Contributions:4 releases, 45 reviews, 123 commits in 4 years
Contributions summary:Ozan primarily focused on refactoring and improving the `sacrebleu` library. Their work involved renaming functions for clarity and removing trailing whitespaces to improve code cleanliness. The user also addressed PEP8 style violations, corrected a missing import, and passed arguments to functions, indicating an effort to enhance code quality and maintainability. The contributions demonstrate a focus on code optimization and the overall improvement of the library's functionality.
Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor
Role in this project:
Back-end Developer
Contributions:6 commits, 3 PRs, 30 comments in 20 days
Contributions summary:Ozan contributed to fixing typos and minor issues within the Theano codebase, specifically in the `gpuarray` and `sandbox/cuda` modules. Their work involved modifying string literals and adding old names, indicating a focus on maintaining and correcting existing code rather than implementing new features. Additionally, the user made modifications to the `scan_module/scan_op.py` file, converting `known_grads` to `OrderedDict` to ensure consistent gradient computation order, which indicates their understanding of the underlying framework.
python-librarymathmulti-dimensionalpythonevaluate
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Ozan Caglayan - Principal Technical Lead AI ML Solutions, MLOps, DevOps at Epic Games