Adrian Meier
Software Engineer, Machine Learning at Snyk
Adrian is a Software Engineer specializing in Machine Learning with deep experience applying AI to security and trading systems. He builds ML-driven features on Snyk's engineering team, following a Trainee Machine Learning Engineer role at Axpo where he shipped a generative AI project for energy trading forecasts. A proven applied ML engineer, he has combined data science, full-stack development, and time-series modeling across Zurich's tech and energy sectors.
Aleksei Kudrinskii
Research Engineer at Snyk
Aleksei is a Research Engineer at Snyk, focused on governing AI agent behavior at runtime. He works on Evo Agentic Development Security, researching how to monitor agent actions in context, detect attacks and policy violations, and enforce safeguards before harmful actions execute. A researcher and engineer, he joined Snyk following its acquisition of Invariant Labs and holds an MSc in Neuro-X from EPFL, bridging AI security research and product development.
Gabija Pasiunaite
Software Engineer, Machine Learning at Snyk
Gabija is a Software Engineer specializing in Machine Learning with deep experience in MLOps and applied AI at scale. She works on Snyk Agent Fix, remediating SAST security findings with AI, following nearly four years at AWS building MLOps platforms and productionizing ML and generative AI use cases for customers. A proven applied scientist, she brings a strong foundation in data science and AI/ML consulting from her time at Aridhia Informatics and bp.
László Dirks
Senior Software Engineer at Snyk
László is a Senior Software Engineer with deep experience in machine learning applied to static analysis. He develops ML-driven security solutions on Snyk's engineering team, building on research from his ETH Zurich-affiliated master's thesis that improved automated vulnerability-fix accuracy by seven percentage points. A researcher-turned-engineer, he combines formal methods training from RWTH Aachen with hands-on experience building secure, AI-assisted developer tooling.
Marco Milanta
Research Engineer at Invariant Labs
Marco is a Research Engineer with deep experience in machine learning and NLP at Invariant Labs in Zurich. He works on applied AI research, building on a prior role as an NLP Research Engineer at Caplena and published research at ICLR 2023 on inductive biases in overparameterized models. A proven researcher, he holds a Master's from ETH Zurich with distinction and has served as a teaching assistant for Probabilistic Artificial Intelligence under Prof. Andreas Krause.
Maxime Gardoni
Software Engineer, Machine Learning & AI at Snyk
Maxime is a Software Engineer in Machine Learning & AI with deep experience building LLM-based systems for secure code generation at Snyk in Zurich. He previously spent three years as a Machine Learning & AI Research Engineer at Ecorobotix, developing and deploying deep learning models for plant detection and novel multimodal architectures in sustainable agriculture. A proven applied ML engineer, he holds a Master's in Mobile Robotics from EPFL.