Dan Mushkevych is a Senior Data Scientist with 13 years of experience building scalable AI/ML systems, data pipelines, and production inference architectures across cybersecurity, life sciences, and large-scale analytics. He combines hands-on model work—fine-tuning LLMs, transformers, GNNs, and Siamese CNNs—with architect-level design of data strategy, RDBMS and ETL re-architecture, and DevOps automation. At Fortra he delivered diverse detection models and RAG/chatbot solutions, and at Tripwire he led the company’s first ML inference pipeline while instituting data inventory and cost-aware R&D practices. He has deep experience with multimodal data integration, agent-based orchestration (LangChain), and embedding-based malicious domain detection backed by ANN indexing. Comfortable moving between research and production, Dan also has a history of building high-throughput back ends and open-source tooling from his earlier big-data and UAV work—an indicator of his appetite for end-to-end systems engineering beyond pure modeling. Based in Beaverton, OR, he blends mathematical rigor from a master’s in applied math with pragmatic delivery of secure, maintainable ML systems.
13 years of coding experience
22 years of employment as a software developer
Master's degree Applied Mathematics and Computer Science, Master's degree Applied Mathematics and Computer Science at Ivan Franko National University of Lviv
Contributions:1 PR, 129 pushes, 2 branches in 4 years 4 months
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