Key Skills and Competence√ SPE IADC Drilling conference technical committee member: chairing drilling mechanics & dynamics, digital transformation, and geomechanics sessions.√ SPE ATCE Drilling subcommittee member.√ Successful implementation of a digital ecosystem, MPD system, developed inhouse well planning software for one of the largest multinational OFS company.√ Project Management: starting from conceptual idea inception through incremental agile development strategy, till commercialization and revenue from the customers. Cross-functional project management: drilling services, managed pressure drilling, tubular running services, drilling fluids, petroleum consultants, well construction. Contractors management. √ Leading of multidisciplinary team across the globe: software development team, operations technical support personnel, RTOC SMEs.√ Successful implementations of corporate well engineering, well planning, and real-time well construction operations optimization software deployment.√ Established drilling engineering training courses for mid-senior engineering staff, inhouse and third parties: drill string and BHA design, drilling well on paper, and drilling optimization. √ Numerical physics-based modeling, engineering process optimization, and fit to purpose design.√ Mechanical systems engineering: materials characterization, fracture mechanics, and fatigue. Key Projects:√ Upstream O&G digital ecosystem.√ Second generation MPD system.√ RTOC software for well state monitoring, analysis, and data analytics: drilling and stimulation.√ Drilling optimization, well planning, drill string, and BHA design software.√ Developed steel characterization and multiaxial fatigue assessment methodology.Other projects: √ MPD real-time hydraulic modeling.√ Hydraulic fracturing modeling and real-time analytics.√ Real-time models for drilling mechanics and hydraulics optimization.√ NPT predictive analytics methodology. √ Drill string and BHA mechanics and dynamics models.√ Casing centralization and cementing simulation models.√ Directional tendencies predictive models.√ Slips-pipe crushing predictive models.√ Drill bit – formation interaction model for the rate of penetration analytics.√ Hydraulics Cylinders Fatigue life assessment model. √ Defect tolerance design of the automotive component, fatigue in the welded joints.√ Performed reliability studies, failures root cause analysis, statistical analysis of various equipment to predict failure lifetimes on critical components and optimize the design and material characteristics.