I build software systems where engineering meets scientific inquiry — from data-driven drilling optimization to business automation. Based in Russia, working globally.
I'm a software developer and technical researcher with a background that spans energy engineering, applied mathematics, and modern software development. My work bridges the gap between rigorous scientific methodology and practical, deployable technology.
I hold a Candidate of Technical Sciences degree (equivalent to a PhD) from Ukhta State Technical University, where my doctoral research focused on developing computational methods and software systems for optimizing oil and gas well-drilling parameters — work that delivered measurable economic results in field operations.
Beyond academic research, I operate as an individual entrepreneur in the tech sector, building software solutions that help organizations make sense of complex data and automate decision-critical processes. I care deeply about writing clean, maintainable code and creating interfaces that feel intuitive to the people who use them.
When I'm not coding or writing, you'll find me exploring the intersection of technology and creative expression — a constant thread that runs through everything I build.
A comprehensive doctoral thesis developing improved methodologies and software tools for real-time optimization of oil and gas well-drilling modes. The work introduced the compromise criterion HVp, a novel approach to balancing competing drilling regimes, and resulted in an automated control system (ACS) for well-deepening processes. Field deployment across the Ardalinskoe and surrounding fields in the Nenets Autonomous Region produced documented economic savings exceeding 2.8 million rubles.
A novel optimization criterion that accounts for "gentle" drilling regimes, enabling engineers to weigh the tradeoffs between aggressive and conservative bit operation — particularly valuable in arctic winter conditions where downtime penalties are high.
Compiled and systematized a field-based database of rock drillability across four oil fields using the express-method on drilling diagrams. Enables accurate geological cross-section detailing and supports computer-aided design for future well construction.
Designed the architecture and algorithm for an automated system that monitors and adjusts key drilling parameters in real time, drawing on data from geological-technological survey stations. Improves labour conditions, well construction quality, and overall drilling efficiency.
Operating as a registered individual entrepreneur (IP) in the IT sector, providing software development, technical consulting, and automation services. Bridging applied research expertise with commercial software delivery.
Producing video demonstrations and technical content on YouTube, showcasing software projects, development processes, and applied research insights for a technical audience.
Grybanov Mykhail (Grybanov Mykhailo): Whether you have a project in mind, want to discuss research collaboration, or simply want to connect — I'm open to conversations that lead somewhere interesting. Drop me a message through any of the channels below.