• Scania January 2025 - August 2025 Master Thesis Worker Deep Learning, Cyber-Security, R&D, Python, TensorFlow, Keras, C++, AWS, Databricks • Researched and developed a generative model–based intrusion detection system (IDS) for Controller Area Networks (CAN) in vehicles, focusing on latent space disentanglement. • Achieved > 98% PR-AUC, and Macro F1-score, while reducing computational load by 72%, enabling real-time deployment on edge devices. • Research at Scania leading to an article for publication (under review). • H&M August 2024 - January 2025 Data Scientist Deep Learning, R&D, ML, Python, PyTorch, GCP, Snowflake • Contributed to the development of a model for image classification, handling a multi-modal dataset of 105K product images with 15+ attributes each (e.g., category, material, color) • Researching, implementing, and modifying vision–language transformer models such as CLIP and fine-tuning techniques involving Adapters, LoRA, and Prompt Tuning. • The National Museums of World Culture August 2022 - March 2023 Full Stack Developer Front-End, Back-End, React, Node.js, PostgresSQL, Storybook, Tailwind • Development of a Virtual Tour and Database System for the “Vanadis” exhibition, managing 100+ artifacts. • Designed and implemented a dynamic website and admin interface, enabling curators to update content in real-time and deliver an engaging, interactive visitor experience.…• Scania January 2025 - August 2025 Master Thesis Worker Deep Learning, Cyber-Security, R&D, Python, TensorFlow, Keras, C++, AWS, Databricks • Researched and developed a generative model–based intrusion detection system (IDS) for Controller Area Networks (CAN) in vehicles, focusing on latent space disentanglement. • Achieved > 98% PR-AUC, and Macro F1-score, while reducing computational load by 72%, enabling real-time deployment on edge devices. • Research at Scania leading to an article for publication (under review). • H&M August 2024 - January 2025 Data Scientist Deep Learning, R&D, ML, Python, PyTorch, GCP, Snowflake • Contributed to the development of a model for image classification, handling a multi-modal dataset of 105K product images with 15+ attributes each (e.g., category, material, color) • Researching, implementing, and modifying vision–language transformer models such as CLIP and fine-tuning techniques involving Adapters, LoRA, and Prompt Tuning. • The National Museums of World Culture August 2022 - March 2023 Full Stack Developer Front-End, Back-End, React, Node.js, PostgresSQL, Storybook, Tailwind • Development of a Virtual Tour and Database System for the “Vanadis” exhibition, managing 100+ artifacts. • Designed and implemented a dynamic website and admin interface, enabling curators to update content in real-time and deliver an engaging, interactive visitor experience.WWWW…