Vladimir K.

Highly accomplished Software Architect and Machine Learning Engineer with a solid mathematical background and 20+ years of experience. I specialize in bridging the gap between complex algorithmic research and high-performance system execution. My unique expertise combines advanced AI/ML development with a deep background in compiler design, domain-specific languages (DSLs), and low-level code optimization. Whether you need to develop production-grade ML models, optimize heavy computing algorithms, or build specialized software tools and custom IDEs, I deliver mathematically sound and architecturally robust solutions. 🧠 Core Expertise Machine Learning & Research: Algorithm development, statistical data processing, predictive modeling, and AI logic orchestration. Strong scientific and analytical background with proven experience in research and academic article writing. Compilers & DSL Engineering: Expert in the theory of formal languages, syntax analysis, parsers, and custom compilers. Prototyping and implementing Domain-Specific Languages (DSLs) tailored for specific business or technical domains. High-Performance & Optimization: Optimization of complex calculations, data structures, and database architectures for high-throughput systems. Full-Cycle Infrastructure: Designing client-server systems for massive data storage, visualization of observation results, and custom developer tools (Eclipse RCP/Xtext/Plugin development). TECHNICAL SKILLS SUMMARY 🤖 Machine Learning & Mathematics Algorithms & Math: Advanced Mathematics, Algorithm Design & Optimization, Statistical Analysis, Data Visualization. AI Logic: Neural Network integration, Data Processing pipelines, Game AI & Logic engines. Research: Scientific research, Data insights, Technical writing, and Academic publication standards. 🛠️ Compiler & DSL Development Formal Languages: Syntax Analysis, Parser Generation, AST Manipulation. Tools & Frameworks: Xtext, Xtend, ANTLR. IDE Development: Eclipse RCP, SWT/JFace, Custom Plugin Development. ☕ Enterprise Java & Backend Infrastructure Core Java: Java SE (High Performance), Java Reflection, Sockets/Networking. Frameworks: Spring (Core, MVC, AOP), Hibernate, JDBC. Data Processing: SAX, DOM, XSLT, Jasper Reports. Databases: PostgreSQL, MySQL. 📱 Legacy & Specialized Experience Desktop/Web UI: Swing, GWT, GXT. Cross-Platform & Graphics: LibGDX (Game engines/logic). Legacy Stack (ActionScript/Flex): Flex 4.6, ActionScript 3.0, Adobe AIR, Flash Media Server, PureMVC (valuable for legacy system migration). ⚙️ Tools & Workflow IDEs: IntelliJ IDEA, Eclipse. Build & Version Control: Maven, GIT, SVN. Architecture: Gang of Four (GoF) Design Patterns, Clean Architecture.