Miguel Won

Founder & AI Engineer at GenMaker Labs

Lisbon, Lisbon, Portugal
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Summary

👤
Senior
🎓
Top School
Miguel Won is an NLP Data Scientist and team leader at Axians Portugal with a decade of experience applying state-of-the-art NLP and ML to customer support pipelines and research projects. He blends rigorous academic training—a PhD in Particle Physics and postdoctoral work building annotated text corpora—with hands-on engineering, deploying transformer-based systems, semantic search, and RAG-enabled chatbots in production. Comfortable across the stack, he leverages tools like Hugging Face transformers, sentence-transformers, OpenAI API, FastAPI, Docker and Gradio to turn prototypes into scalable services. His research background includes supervising manual annotation, building web archives and social media data collection pipelines, giving him a strong grounding in data curation and task design that improves model robustness. An electronics hobbyist who prototypes with Arduino/Raspberry Pi and designs PCBs, he brings practical curiosity and systems thinking to ML problems. As a leader he emphasizes collaborative, cross-disciplinary teams that translate cutting-edge LLM advances into usable, impactful solutions.
code10 years of coding experience
job6 years of employment as a software developer
bookLisbon Machine Learning School: LxMLS 2014
bookPrompt Engineering for LLMs Artificial Intelligence, Prompt Engineering for LLMs Artificial Intelligence at Sphere
bookMachine Learning Engineer Nanodegree Machine Learning, Machine Learning Engineer Nanodegree Machine Learning at Udacity
bookDoctor of Philosophy (PhD) Elementary Particle Physics, Doctor of Philosophy (PhD) Elementary Particle Physics at Universidade de Coimbra
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Github Skills (200)

transformers10
sentence10
python10
ui-components10
entity-linking10
deep-learning10
cython10
vertex-ai10
gemma10
glm10
twint10
twitter10
multimodal10
audio10
llmops10

Programming languages (11)

TypeScriptJavaC++ShellCRustJavaScriptHTML

Github contributions (5)

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Ubiqu0/Ubiquo

Nov 2021 - Oct 2022

Contributions:54 commits, 9 pushes in 10 months
Ubiqu0/UbiOne

Mar 2022 - Oct 2022

Contributions:54 commits, 29 pushes in 6 months
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