Alexey Obukhov

• Designed and implemented a new Python-based data analysis framework using Pandas, NumPy, Matplotlib, accelerating report generation on chip data.

• Streamlined reporting process, reducing analysis time and supporting real-time project needs.

• Developed custom visualization tools for chip trace data, enhancing troubleshooting efficiency.

• Designed and implemented Python-based solutions for trace data visualization, enabling informed engineering decisions.

• Developed custom visualization tools to streamline chip trace data, enhancing troubleshooting efficiency.

• Oversaw the creation and integration of automated workflows, ensuring reliability and scalability for large-scale data processing tasks.

• Mentored and supported team members to promote professional growth.

• Conducted rigorous manual and automated testing using Python and Robot Framework for advanced navigation software in vehicles from leading automotive manufacturers.
• Designed and implemented comprehensive test suites to validate the CAN protocol, ensuring reliable communication within automotive environments.
• Collaborated in agile Kanban teams to troubleshoot complex issues and improve in-vehicle navigation systems' performance and reliability.
• Communicated test results and technical findings to cross-functional teams, enabling efficient defect resolution and robust solution delivery.
• Proactively contributed to process optimization and best practices, supporting the successful delivery of navigation solutions for automotive brands.
• Collaborated with teams to ensure quality assurance and testing procedures were followed effectively.
• Utilized strong communication skills to convey complex technical information in English.

• Conducted rigorous manual testing of navigation software for leading automotive manufacturers like Škoda, Volkswagen, and Audi.
• Executed detailed test cases for regression, functional, and integration testing using tools like ADTF, NDS Viewer, and PCAN-Trace.
• Collaborated in agile Kanban teams to troubleshoot issues and drive continuous improvement in software quality.

• Developed and maintained C-based applications for the Opal learning project GRIPSS, enhancing digital learning resources for students.
• Collaborated with Lead Professor and Lead Developer to identify user needs, ensuring custom software solutions addressed real-world challenges.
• Contributed to the core functionality of the GRIPSS project, delivering robust, user-friendly programs for students.