Summary
Ignacy Daszkiewicz is a Machine Learning Engineer with nine years of experience building production-ready AI systems that blend Large Language Models, simulations, and graph-based architectures to optimize decision-making and processes. He has delivered practical solutions across manufacturing, healthcare, and knowledge management—reducing production downtime with predictive models, simulating drug metabolism to optimize dosing, and creating an internal semantic search that unifies docs and emails for fast summarization. Known for engineering at scale, he designed heuristics for fuzzy matching across billions of records and generated terabytes of synthetic data to validate graph algorithms. Ignacy also prototypes innovative LLM-driven tooling—automated code generation, multi-agent graph chatbots, and LLM bots that bridge technical and non-technical stakeholders—often combining cloud and low-cost local ARM compute. Comfortable across the stack from APIs and Azure/AWS deployments to Python-driven experimentation, he pairs methodical evaluation with cross-disciplinary creativity. Based in Lower Silesia, Poland, he brings a pragmatic research mindset that turns ambitious ML ideas into measurable business impact.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering (BE), Computer Science, 5,5, Bachelor of Engineering (BE), Computer Science, 5,5 at Politechnika Wrocławska
Polish, English