Denys User

I’m a results-driven Data Engineer, Machine Learning Expert, and Software Engineer focused on AI-driven solutions, predictive analytics, NLP, LLMs, deep learning, and scalable software engineering. With a Master’s degree in Computer Science and hands-on experience, I design and build end-to-end intelligent systems—from data ingestion, ETL, and database architecture to modeling, deployment, dashboards, and cloud-scale applications.

I’ve delivered cloud-scale data engineering pipelines, AI/ML systems, and multilingual LLM platforms that improve operational efficiency and decision-making. Highlights include a multilingual LLM chatbot with web search, OCR, document analysis, and image generation; an OpenCV-based aircraft detection and tracking system; and production-focused enterprise integration such as secure authentication, API gateways, microservices communication, and distributed system reliability through logging, monitoring, and performance optimization.

One of my key differentiators is HBST (High-Speed Bottom-Up, Spiral Top-Down)—a learning methodology I created to rapidly acquire and master new technologies and domains. I currently apply HBST in education to help students master full K-12 mathematics and programming in 3–6 months, and I’m preparing to expand HBST into a global web and mobile learning platform with high-speed skill development for companies, institutions, and individuals.

I’m excited to collaborate with teams that want to innovate, scale, or invest in future-ready AI and learning technologies. If you hire me, you get a highly adaptive engineer who can build advanced AI solutions, full-stack platforms, and an HBST learning ecosystem with exceptional efficiency and minimal overhead—so you can accelerate your roadmap and drive strong ROI.