Mikhail Gorelkin

• Conceptual design of products and services based on scientific publications; • Design of computational frameworks to formulate and solve real-world problems adequately by combining ideas and techniques from different computational disciplines; • Design and customization of computational models and algorithms from scratch and from academic code / scientific papers.

• Research, evaluation, and design of computational architectures and systems around scalability / linear scalability, parallelism, streaming, and real-time processing; • Development of algorithms and algorithmic systems in C / C++, C#, Java, Scala, Python, Octave, and Julia.

Developed several advanced features for the QALoad... • Discovering server scalability bottlenecks based on the performance counters. Used the Kruskal-Wallis test and modified Hodges-Lehmann estimators for statistical modeling; • Pattern recognition for QALoad capture's files and 'restoration of the application logic' for c-scripts; • SQL parser and the algorithm for dynamic variablization based on this parser.

Developed... • A the NT-based distributed enterprise architecture for 100+ terminals across the US, Canada, and Mexico using satellite communication; • Two-way communications with the mainframe legacy system (DB2, CICS) based on SNA / COMTI; • Multi-threaded asynchronous services for accessing ERP data on MS SQL Server from mainframe CICS clients (based on APPC communication with mainframe CICS) with the cluster support.

Developed the scalable architecture for terminal operations based on MTS and MS SQL Server with up to 300 MS-DOS clients / hand-held computers using MS RPC. After several months of work, the client hired me as a Systems Architect to lead the technical reconstruction of his IT.

Designed and developed the DoES for Windows - the primary product for the Shainin approach to Design of Experiment, and the ANOVA-TM 2.x for Windows - the primary product for the Taguchi approach to DoE.

Developed all statistics for the WinSPC including non-normal capability analysis for all types of Pearson's and Johnson's distributions.

Nonlinear Functional Analysis (Master's thesis: Diffeomorphisms in Banach spaces)