Daniele Gadler
Head Of AI Solutions at STADA Group
Frankfurt, Hesse, Germany
Summary
👤
Senior🎓
Top SchoolDaniele Gadler is a trilingual Head of AI Solutions with 11 years of experience building production-grade ML and data platforms across Azure, GCP and Databricks from Frankfurt. He has a strong academic foundation (MSc cum laude from Scuola Superiore Sant'Anna) and a track record of translating research into impact—evident from his federated learning work that reduced network traffic 8.7x and contributions to the well-known PySyft privacy-preserving ML project. At STADA he scaled AI adoption, launched STADA GPT and established AI governance that drove measurable ROI and a 1000% increase in chatbot adoption within 18 months. Comfortable leading cross-functional teams, he blends hands-on engineering (Python, Spark, SQL) with platform and roadmap ownership to deliver agents, RAG systems and custom GenAI. Equally at ease prototyping supply-chain and predictive-maintenance solutions for pharma and automotive clients, he favors pragmatic, production-first designs. His not-so-obvious strength is bridging low-level research (quantization, websockets/timeouts) with enterprise AI strategy to ensure models work reliably in constrained, real-world environments.
11 years of coding experience
6 years of employment as a software developer
Bachelor in Computer Science and Engineering, Computer Science and Engineering, Bachelor in Computer Science and Engineering, Computer Science and Engineering at Free University of Bozen-BolzanoMaster in Computer Science and Networking, Master in Computer Science and Networking at Scuola Superiore Sant'AnnaBachelor in Informatik, Erasmus Student - Computer Science, Bachelor in Informatik, Erasmus Student - Computer Science at RPTU Kaiserslautern-LandauLiceo Scientifico "Galileo Galilei"
Italian, English, German, latino, Chinese
Github Skills (4)
network-programming10
websocket10
python10
federated-learning9
Programming languages (6)
Github contributions (5)
OpenMined/PySyft
Apr 2019 - Nov 2020
Perform data science on data that remains in someone else's server
Role in this project:
Back-end Developer
Back-end DeveloperContributions:70 commits, 19 PRs, 161 comments in 1 year 6 months
Contributions summary:Daniele primarily focused on addressing timeout issues within the `pysyft` repository, which is a framework for privacy-preserving machine learning. Their contributions included fixing timeout problems on low-power devices by modifying the websocket server and client code. These fixes involved adjusting the timeout settings in the websocket connection to prevent unexpected disconnections. They further enhanced the code by implementing more compact changes for the timeout issues.
data-sciencedeep-learningsecure-computationpytorchprivacy
DanyEle/danyele.github.io
Sep 2019 - May 2026
Contributions:108 pushes, 3 branches in 6 years 9 months
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