After publishing Curriculum Vitae as a book the author started receiving e-mails asking for his salary expectation. Being shy to discuss such matters openly he devised a codebook of salaries. Now everyone could answer a question about his or her salary expectations by referring to specific page. Also colleagues and friends could say to each other: "I'm still on page X" or "Last month I turned the page Y over". The last 10 pages of the codebook specify various perks. The response template to the question of salary expectations is: "My salary expectation is on page Z plus benefits listed on pages N and M". (*) X,Y,Z,N,M are page numbers from 3 to 100. Good luck with job hunting :-)
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Dmitry Vostokov is an internationally recognized expert, speaker, educator, scientist, inventor, and author. He founded the pattern-oriented software diagnostics, forensics, and prognostics discipline (Systematic Software Diagnostics) and Software Diagnostics and Observability Institute (DA+TA: DumpAnalysis.org + TraceAnalysis.org). Vostokov has also authored over 50 books on software diagnostics, anomaly detection and analysis, software and memory forensics, root cause analysis and problem solving, memory dump analysis, debugging, software trace and log analysis, reverse engineering, and malware analysis. He has over 30 years of experience in software architecture, design, development, and maintenance in various industries, including leadership, technical, and people management roles. Dmitry founded OpenTask Iterative and Incremental Publishing (OpenTask.com) and Software Diagnostics Technology and Services (former Memory Dump Analysis Services) PatternDiagnostics.com. In his spare time, he explores Software Narratology, Software Pathology, Software Morphology, Quantum Software Diagnostics, and Pattern-Oriented AI. His interest areas are theoretical software diagnostics and its mathematical and computer science foundations, application of formal logic, semiotics, artificial intelligence, machine learning, and data mining to diagnostics and anomaly detection, software diagnostics engineering and diagnostics-driven development, diagnostics workflow and interaction. Recent interest areas also include functional programming, cloud native computing, monitoring, observability, visualization, security, automation, applications of category theory to software diagnostics, development and big data, and diagnostics of artificial intelligence.
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