Daniel Gil

Data Science Manager

Melbourne, Victoria, Australia
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Summary

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Senior
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Daniel Gil is a Data Science Manager based in Melbourne with over a decade of experience building AI and ML products across the US, Europe and Australia. He combines hands-on expertise in generative AI, LLM agents, multimodal NLP and computer vision with production-grade MLOps—designing SageMaker pipelines, IaC with Terraform, Airflow/Dagster orchestration and GPU-optimised PyTorch models. His recent work includes scaling RAG for real-estate listings, multimodal recommender systems and image-ranking models that measurably improved engagement and personalization. Daniel moves fluidly between strategic leadership—mentoring teams and shaping data practices—and deep engineering, having led end-to-end data pipelines, model governance and deployment at scale. He also brings a software-architect background and product-minded experience from earlier roles, which helps him translate business problems into robust technical solutions.
code8 years of coding experience
job20 years of employment as a software developer
bookScrum Master Certified, Information Technology Project Management, Scrum Master Certified, Information Technology Project Management at Scrum Agile Institute
bookGraduate Diploma in Software Management and Engineering, Project Management, software engineering, architecture and design, Graduate Diploma in Software Management and Engineering, Project Management, software engineering, architecture and design at Universidad Católica de Oriente
bookBig Data Scientist Certified, Data Science, Big Data Scientist Certified, Data Science at Arcitura - Big Data Science School
bookThe University of Melbourne
bookProject Management Professional (PMP /PMI) Course Prep Exam, Information Technology, Project Management Professional (PMP /PMI) Course Prep Exam, Information Technology at IT Service
bookComputer Software Engineering, Computer Software Engineering at Carnegie Mellon University
languagesEnglish, French
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Github Skills (15)

snorkel5
data-augmentation5
social-media4
machine-learning4
labeling4
python4
data-science3
training-data3
weak-supervision3
analytics2
language-processing2
ai2
nlp2
deep-learning1
natural-language-processing1

Programming languages (3)

JavaScriptHTMLPython

Github contributions (5)

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A Jekyll version of the "Forty" theme by HTML5 UP.
Contributions:98 pushes, 2 branches in 5 years 4 months
forty-themejekylljekyll-themehtml5
Contributions:16 commits, 7 pushes in 1 month
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Daniel Gil - Data Science Manager