# Tom G. > Engineer @ Amazon | PhD in Machine Learning Location: London, England, United Kingdom Profile: https://flows.cv/tomg I hold a PhD in Machine Learning and Software Security from the Technical University of Berlin. I enjoy teaching and sharing my knowledge, and have given lectures on compiler engineering and talks on software security. I am passionate about advancing the state of the art in machine learning and IT security and contributing to the scientific and industrial community. ## Work Experience ### Engineer II @ Amazon Jan 2024 – Present | London Area, United Kingdom • Contributed to the development of Agentic AI and RAG for automated web application penetration testing. Using SFT, LoRa, MoE, FSDP. Libraries used: Langchain, Langsmith, Pydantic. • Engineered a TLS Client Hello Parser in Rust. • Created machine learning tools for anomaly detection, utilizing Transformer models and VAEs. ### Software Architect @ Volkswagen Jan 2024 – Jan 2024 | Wolfsburg, Niedersachsen, Deutschland • Created concept for continuous security and DevSecOps best practices for the whole Org ### Researcher @ SAP Jan 2020 – Jan 2023 | Karlsruhe, Baden-Württemberg, Germany • Enhanced Static and Dynamic Application Security Testing tools with Deep Learning • Used Pytorch and contributed to Pytorch Geometric • Researched Graph Neural Networks • Researched Causal Inference for Deep Learning • Research Interpretability and Explainability for ML models • Resarched privacy-preserving LLMs • Researched LLM-based Code Audits ### Masters Student @ SAP Jan 2020 – Jan 2020 | Karlsruhe, Baden-Württemberg, Germany • Compared Local Differentially Private and Central Differentially Private Deep Learning • Conducted Membership and Inference Attacks against Machine Learning Models • Tested privacy-preserving Federated Learning Models ### Intern @ SAP Jan 2020 – Jan 2020 | Karlsruhe, Baden-Württemberg, Germany • Developed an Extension for TensorFlow to support Federated Learning • Developed Central and Local Differentially Private Federated Learning using TensorFlow ### Adjunct Lecturer @ Duale Hochschule Baden-Württemberg (DHBW) Karlsruhe Jan 2022 – Jan 2022 | Karlsruhe, Baden-Württemberg, Germany • Lectures and exams for compiler engineering. ### Data Science Intern @ inovex GmbH Jan 2019 – Jan 2020 • Developed internal search engine on ELK stack with Microservice architecture • Created ingestion services using Java and Go • Implemented CI/CD pipeline, unit testing, deployment on GCloud ### ML Engineer Intern @ Bosch Jan 2018 – Jan 2019 | Reutlingen, Baden-Württemberg, Deutschland • Contributed to Bosch AI competition by building Raspi with 16-MicArray to classify cars by sound. • Trained LSTM on accelerator and gyroscope data for gesture detection using Tensorflow and FreeRTOS. • Utilized Hadoop, Kafka, and MQTT to showcase Bosch XDK capabilities in Reutlingen, Germany. ### Software Engineer Intern @ DAASI International Jan 2018 – Jan 2019 | Tübingen, Baden-Württemberg, Deutschland • Developed and maintained LDAP-backed usermanagement software in Typescript, CSS, Python ### Software Engineer @ Cinetic Internet Systemhaus GmbH Jan 2014 – Jan 2018 • Developed web applications for big pharma clients using Java, PHP, JS, CSS, SQLite, MySQL. • Integrated Salesforce solutions for customers. ## Education ### Doctor of Philosophy - PhD (Dr. rer. nat.) in Machine Learning and Software Security Technische Universität Berlin ### Master of Science - MS in Computer Science Karlsruhe University of Applied Sciences ### Bachelor of Science - BS in Applied Computer Science Baden-Wuerttemberg Cooperative State University (DHBW) ## Contact & Social - LinkedIn: https://linkedin.com/in/tom-g-32b919148 - Website: https://thecout.com --- Source: https://flows.cv/tomg JSON Resume: https://flows.cv/tomg/resume.json Last updated: 2026-04-05