Sr Software/Data Engineer, Pythonista, Machine Learning in Risk and GenAI for data pipes

Senior Machine Learning Engineer specializing in production ML systems and LLM pipelines. Track record of building real-time inference architectures processing 100K+ daily transactions and optimizing fraud prevention models through cost-sensitive learning and ROC analysis. Deep expertise in feature attribution, model optimization, and MLOps across fraud detection and document processing domains.

Technical lead for multiple successful initiatives, including designing distributed system observability for Web3 protocols and architecting document extraction pipelines using RAG and custom embedding models. Founded AI-driven venture winning government contracts, while serving on UN committee for supply chain transparency. Strong focus on scalable, maintainable ML architectures and clean abstractions.