Pavel Makin

Background

About Pavel Makin

As a Systems Engineer and Architect at Hanon Systems, I lead technical projects in electronic cooling systems while pioneering AI integration in traditional engineering processes. My expertise lies in transforming complex technical challenges into scalable, intelligent solutions that drive operational excellence. Professional Focus- System Architecture & Engineering: Design and maintain system architectures (SYS2-SYS5), manage configuration and change processes according to industry standards - AI & Process Automation: Developed OCR-based document recognition models and LLM-based agents for requirements classification and analysis - Project Leadership: Create comprehensive resource plans, conduct system integration tests, and provide strategic technical customer consulting - Innovation Management: Architect AI implementation strategies for classical engineering development processes Core Competencies- Systems Engineering: ASPICE processes, V-Model methodology, requirements analysis and specification - AI/ML Development: Python automation, machine learning integration, process optimization - Automotive Industry: Electronic cooling systems, inverter development, power electronics - Project Management: International project coordination, stakeholder management, technical consulting - Technical Tools: Polarion, DOORS, Altium Designer, Matlab/Simulink, STM32CubeIDE International Experience: My career spans from research at TU Darmstadt developing SiC-based power semiconductors to leading international projects at IHI Charging Systems and Robert Bosch. I have successfully managed cross-cultural teams and represented organizations in technical customer meetings. Proficient in German, English, and native Russian, I excel at technical communication across global engineering teams. Innovation Leadership: I am committed to advancing the integration of artificial intelligence with traditional engineering methodologies. My work includes developing automated testing processes, creating intelligent requirement analysis systems, and establishing frameworks for AI implementation in engineering development cycles. Academic Foundation: Master's degree in Electrical Engineering with distinction from Saint Petersburg State Marine Technical University, with specialized focus on electrical systems and ship energy systems.#SystemsEngineering #ArtificialIntelligence #AutomotiveIndustry #ProjectManagement #TechnicalLeadership