Daniel Franch
Machine Learning Engineer at Transmit Security
Recife, Pernambuco, Germany
Summary
👤
Senior🎓
Top SchoolDaniel Franch is a seasoned Machine Learning Engineer with 13 years of experience building production-ready ML systems across identity security, fraud detection, and computer vision. Currently at Transmit Security he designs and deploys LLM agents and local fine-tuned models that cut client onboarding from days to under 24 hours and replaced costly API dependencies. His background spans industry leaders like Ping Identity and Intel, where he optimized CatBoost fraud models, engineered signal-processing features for bot detection, and adapted deep models to hardware accelerators for large speedups. At Dataloop he delivered end-to-end workflows and plug-and-play model kits that reduced training and inference setup from a day to 30 minutes, and built RAG chatbots that earned strong internal adoption. Trained in electrical engineering with research experience in dynamical systems and time-series modeling, he combines rigorous algorithmic foundations with practical deployment skills (PyTorch, Huggingface, LangChain, Kubernetes). He’s equally active in knowledge sharing and team upskilling, running monthly learning events to keep peers current with evolving AI practices.
13 years of coding experience
10 years of employment as a software developer
Fellow, Data Science, Fellow, Data Science at Israel Tech Challenge <itc>Master's degree, Electrical Engineering, Master's degree, Electrical Engineering at Universidade Federal de PernambucoNon-Degree Exchange Student, Electrical Engineering, GPA: 3.72, Non-Degree Exchange Student, Electrical Engineering, GPA: 3.72 at Penn State UniversityFederal University of Technology – ParanáBachelor of Arts - BA, LIBERAL ARTS AND SCIENCES, GENERAL STUDIES AND HUMANITIES, 97 - Summa Cum Laude, Bachelor of Arts - BA, LIBERAL ARTS AND SCIENCES, GENERAL STUDIES AND HUMANITIES, 97 - Summa Cum Laude at Tel Aviv University
Portuguese, English, German, French, Hebrew
Github Skills (31)
python10
machine-learning10
tensorflow9
neural-network9
deep-learning9
keras9
deep-neural-networks8
gpu8
ml8
data-science8
interoperability8
pytorch7
scikit-learn7
mxnet6
onnx6
Programming languages (5)
Github contributions (5)
franchenstein/master_project
May 2016 - Feb 2017
Contributions:155 pushes, 1 branch in 8 months
franchenstein/tcc
Mar 2014 - Feb 2015
Contributions:50 commits, 16 pushes in 10 months
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