Summary
Dainis Boumber is a Senior Data Scientist III and experienced NLP researcher with nine years building production-grade language models and Gen-AI systems, currently advancing legal NLP at LexisNexis. He holds a PhD in Computer Science and completed a postdoc in NLP, blending deep academic rigor with hands-on engineering—authoring core NLP engines and end-to-end ML pipelines in Python and PyTorch. His work spans long-document transformers, cost-optimized inference (6.5x speedups), advanced prompt design, and self-improving systems deployed at scale for enterprise customers. He has led AI teams and influenced C-suite strategy at startups and Fortune 500 labs, delivering measurable business impact such as new revenue-driving patent classifiers and multilingual models trained on hundreds of millions of documents. Based in Houston, Dainis pairs research innovations with production ops expertise, often translating novel attention and loss innovations into real-world document-understanding products.
9 years of coding experience
14 years of employment as a software developer
PhD Computer Science, PhD Computer Science at University of Houston
Computer Science, Computer Science at The University of Texas at Austin
English, Russian