20+ years at home in high-tech entrepreneurship, R&D management, scientific product development, all we now call AI (ML/DL/DS, Operations Research, NLP and Information Retrieval), tech/science strategy and mentoring, fractional CTO/founder roles, applied and fundamental mathematics, crafting new algorithms and data structures, general problem solving and inventive step. Primarily in R&D/science/data/information retrieval/math/quant/performance-intense contexts and leadership in software.Coming from:✔ starting, growing, running and mentoring teams and businesses as a CTO (business + tech)/co-founder/advisor in advanced software products (ex., early NLP techology, high-perf DB engines, scientific applications of all sorts, knowledge representation and applied AI);✔ lifelong with math: hands-on applications, popularizing mathematical thinking; graduate in Operations Research; Fundamental and Applied Math, Computer Science, Abstract Algebra, Probability and Statistics, Control Theory, Dynamical Systems, Numerical Optimization (Discrete, Continuous, Multiobjective, Global), Nonparametric Statistical Methods; Uncertainly quantification; Reliable/Explainable AI✔ building software since childhood, in all roles ranging from an individual contributor through architect to vision and strategy; hands-on today in research, prototyping and menthoringCommunicative and reflective leader with good social skills and success track record. Appreciate working where business meets technology, love teams and people, comfortable with complexity and keen on managing it. Cross-disciplinarian.CORE STRENGTHS: Management (product, project, team, operational, key accounts); Product development; Leadership and Change management; Customer success (onboarding, communication, relationship, regular product work); Process improvement; Strategic planning; Market analysis (risks, trends, products); Coaching; Software solution architecture; R&D projects (incl. machine learning, data science, data management, high performance, database technology, mathematical modeling and optimization); Talent attraction, growth, and retention; Resolving conflicts; Agile processes; Public presentation, speaking and writing; Innovation, IP, inventive steps; Problem solving; Board and technology advisory; all the Ai stuff we hear a lot about