Iskra Oleg
Education
M.S. in Information Technology, Software Engineering, Carnegie Mellon University, USA (2014-2015)
M.S. in Applied Mathematics and Computer Science, Taras Shevchenko National University of Kyiv, Ukraine (2001-2007)
M.S. in Applied Mathematics and Computer Science, Taras Shevchenko National University of Kyiv, Ukraine (2001-2007)
Research interests
Differential equations: linear and nonlinear boundary value problems for differential and difference equations in Banach and locally convex spaces (exponential dichotomy and bounded solutions), nonlinear oscillations, impulse systems, game theory.
Applied functional analysis: a priori estimates for equations of mathematical physics, an operator theory, differential equations with delay, viscosity solutions, theory of semi-groups.
Optimization: controllability of differential equations, ergodic theory, maximum principle.
Applied functional analysis: a priori estimates for equations of mathematical physics, an operator theory, differential equations with delay, viscosity solutions, theory of semi-groups.
Optimization: controllability of differential equations, ergodic theory, maximum principle.
Experience
Chief ML/AI Officer at MetroEngines (Jan 2018 – Feb 2022)
Enhanced hotel revenue by 35% and profit margins from 10% to 30% through dynamic pricing algorithms, impacting over 140 hotels.
Accelerated R&D cycle times by 40% and improved model accuracy by 25% through advanced ML framework integration.
Boosted team efficiency by 30% and reduced talent turnover by 20% through strategic hiring and mentoring.
Chief Technology Officer at Roborzoid, LLC (Aug 2015 – Dec 2017)
Led the development of a voice-controlled ecosystem, achieving a 50% improvement in speech recognition accuracy and a 40% increase in processing speed.
Drove a 45% improvement in object classification accuracy in visual field applications.
Enhanced hotel revenue by 35% and profit margins from 10% to 30% through dynamic pricing algorithms, impacting over 140 hotels.
Accelerated R&D cycle times by 40% and improved model accuracy by 25% through advanced ML framework integration.
Boosted team efficiency by 30% and reduced talent turnover by 20% through strategic hiring and mentoring.
Chief Technology Officer at Roborzoid, LLC (Aug 2015 – Dec 2017)
Led the development of a voice-controlled ecosystem, achieving a 50% improvement in speech recognition accuracy and a 40% increase in processing speed.
Drove a 45% improvement in object classification accuracy in visual field applications.
Miscellaneous
Spearheaded Machine Learning and AI research and development, directly contributing to a 35% increase in overall system efficiency and a 30% reduction in operational costs in various industries.
Developed and implemented ML strategies that resulted in a 25% increase in customer engagement and a 20% improvement in predictive accuracy for e-commerce clients.
Developed and implemented ML strategies that resulted in a 25% increase in customer engagement and a 20% improvement in predictive accuracy for e-commerce clients.