Bosch needed optimized test stations to improve quality control and efficiency in motorcycle cluster production Managed testing operations, trained engineers, and improved defect detection Defined defect detection tests in collaboration with major motorcycle manufacturers (BMW, Suzuki, Ducati, etc.) Supervised line assembly and trained engineers during two trips to Bosch Mexico Introduced MES across stations to improve tracking and efficiency Created automation solutions in Python and VBA for testing and analytics Applied Six Sigma, Lean, and strategic methods to identify and resolve issues efficiently Cut test station setup time by 13% Increased detection accuracy by 20%, lowering defects in mass production Costumers satisfaction increased

Bosch required advanced vision-based testing for automotive instrument clusters to ensure quality and accuracy Develop automated vision test scripts and improve object detection and image processing algorithms Worked with Bosch Wuhu (now BiTECH) to implement vision testing Minimized subjective testing, boosting efficiency, and cutting costs by 1.5m€ monthly Enhanced accuracy by 25%, lowering false positives and boosting quality

Bosch required efficient, automated testing solutions to validate car instrument panels before production Developed automated tests for hardware validation using CAN, FlexRay, LIN, and MOST Worked with multicultural teams to improve automation strategies and meet industry standards Applied Cp, Cpk, and MSA for process optimization, and PFMEA for managing risks to improve production quality Decreased testing effort by 26%, allowing faster validation and launches product releases Increased fault detection accuracy by 8%, minimizing defects and improving product reliability

The company needed to optimize a Linux-based application and develop a new web platform Optimized Python-based software to boost efficiency and reduce processing time Built a website with HTML, PHP, and MySQL to enhance user experience and data handling Boosted system performance, cutting execution time by 10% Deployed a functional website with database connectivity

The company required a data collection and processing gateway to optimize industrial performance Configured BeagleBone Black (Linux) for real-time data collection and processing Developed a Python application with MongoDB to optimize data management Improved system performance, reducing data processing delays by 15% Introduced a flexible data management system for better reliability

Specialization in Automation and Communications in Industrial Systems

Electrical Engineering