Daniele Gadler

- Leading the development of productive GenAI, Machine Learning and Data Science solutions using Microsoft Azure, Databricks and Python, delivering value for the business. - Leading the implementation and adoption of STADA GPT, a GenAI chatbot within STADA. - Training colleagues on Generative AI, driving the adoption of Generative AI tools for daily work.

- Led the scoping, design and implementation of productive data science solutions in Spark, SQL, Python and the ONE DATA platform. - Developed a tool for data-driven supply chain optimization for a large German pharmaceutical company used in production - Prototyped a tool for configuration optimization for a luxury German car manufacturer

- Designed and implemented data science solutions in Spark, SQL, Python and the ONE DATA platform. - Created time series and simulation analyses for scenario-based production of medicines - Carried out DataOps, data engineering, data modelling, data visualization to fulfill project goals - Managed customer communication, held regular agile sprints' planning and requirements' analysis

Business analysis, prototyping, project lead of Machine Learning projects carried out for the Autonomous Province of Bolzano in SAS, SAS Viya, Microsoft Azure, Python for: - Modelling severe COVID illness based on patients’ symptoms and COVID time series - Predictive road traffic trends from IoT and weather data - Predictive maintenance of South Tyrol's road infrastructure from Google Street View images - Farmers' crop funding automation from satellite images.

Master's thesis Student at the HPC Lab of CNR supervised by Dr. Nicola Tonellotto, working on my MSc. Thesis titled "The Impact of Recurrent Neural Network Quantization on Federated Learning". Proposed, implemented and experimented "Federated Quantization", a technique introducing quantization in federated learning to reduce the amount of data transmitted up to 8.70x , while still maintaining a high model accuracy for RNNs

DEBASS - Detecting Behavioural Anomalies in the Operations of Large Software Systems Development of a distributed and parallel tool for analyzing logs of the ALMA observatory to identify anomalous system behaviour via data mining techniques. www.github.com/danyele/HMM

Development of an automatized tool for the creation of Hidden Markov Models based on logs of developers’ interactions with the Visual Studio IDE.

Fingerprinting Wi-Fi devices with Phyisical-layer features. Theoretical state-of-the-art study and experimental evaluation of fingerprinting methods for identification of devices in a network.

Support Tutor for students as part of the Advanced Java Programming Course, holding regular weekly classes to support students with: - Preparation for midterms/exams - Support in assignments' carrying out - Revision of topics covered in class - Further explanation and further study of specific course content

Sponsored scholarship by CRCC Asia for an internship at MullenLoweProfero, a leading international corporation in the field of website building. Main responsibilities were: - Assisting development teams in software development and testing - Drafting and implementing testing plans and code refactoring - Carrying out websites'​ migrations and ensuring websites'​ reliability.

With Prof. Sven Helmer. Maintenance and enhancement of a large datacenter composed of over 100 mini-computers “Raspberry Pi”. With Prof. Barbara Russo. Identification of issues and changes responsible for energy consumption in ART Android Virtual Machine.

Game developer as part of the development team for the videogame “Battle Cry of Freedom”.

Vertiefung in Cloud Computing und Data Mining. Abschlussnote: 110 cum laude / 110. Notendurschnitt: 29.73/30. Kurse über theoretische Informatik, Microservices-Architekturen, parallele und verteilte Systeme, Algorithmen und Datenstrukturen, Maschinelles Lernen, High-Performance Computing.

Erasmus Austauschstudent beim Fachbereich Informatik der TU Kaiserslautern. Notendurschnitt: 1.63/4.00 Kurse über Künstliche Intelligenz, Web Technologien, Projektmanagement, Protokolle und Algorithmen zur Netzwerksicherheit, Compilers.

Dreisprachiger Bachelor in Informatik: English, Deutsch und Italienisch. Abschlussnote: 106/110. Kurse über OO und funktionale Programmiersprachen, Datenbankenysteme, Statistik, Analysis und lineare Algebra, Algorithmen, Management-Ingenieurwesen