LUIS — ENGINEERING MANAGER (PROJECT LEAD / DESIGN & INTEG

Python (pyserial, socket, pandas, numpy),

Results-driven Automation Engineer with extensive experience programming and integrating Rockwell Automation PLCs, with specialized expertise in the MicroLogix family (1100, 1200, 1400). Proven track record of developing robust control solutions for industrial applications involving pneumatic systems, solenoid valves, variable frequency drives (VFDs), and conveyor systems. Skilled in delivering reliable, documented, and maintainable code that optimizes production efficiency and minimizes downtime.

Results-driven Vision & Automation Engineer with extensive experience designing, programming, and integrating Cognex machine vision systems for 2D and 3D inspection applications. Specialized expertise in the In-Sight family (7000, 8000 series) and 3D-L4000 laser displacement systems, using In-Sight Explorer (Spreadsheet and Advanced), VisionPro, and Cognex Designer development environments. Proven track record of delivering robust vision solutions for quality inspection, part measurement, robotic guidance, and identification/tracking across automotive, electronics, medical device, and general manufacturing industries. Skilled in integrating vision systems with PLCs (Rockwell, Siemens), industrial robots (ABB, Fanuc, KUKA), and factory data systems for fully automated production cells.

Results-driven Automation & Robotics Engineer with extensive hands‑on experience programming and integrating ABB small industrial robots, specializing in the IRB family (IRB 120, IRB 1200, IRB 1100, and IRB 910SC SCARA). Proven track record of developing reliable robotic solutions for pick‑and‑place, assembly, dispensing, machine tending, and material handling applications. Expert in RAPID programming language and RobotStudio for offline programming, simulation, and path optimization. Skilled in integrating robots with pneumatic grippers, solenoid valves, VFD‑driven conveyors, and vision systems to deliver fully automated production cells.

Design, integration, and optimization of automated manufacturing systems including PLCs, robots, vision systems, HMIs, and industrial networks for electronics, automotive, and battery sectors. Abilities: Architecting complete automation solutions from concept through full?scale production, including mechanical, electrical, and control system integration. Implementing error?proofing (Poka?Yoke), traceability, and data acquisition systems to improve quality and throughput. Managing automation projects including BOM structuring, cost estimation, vendor selection, and cross?functional coordination. Accomplishments: Integrated 20+ smart torque drivers with Oracle databases via Python/TCP/IP, enabling full production traceability and reducing quality claims by 25%. Designed and deployed low?cost vision inspection stations using Raspberry Pi and OpenCV, achieving 95% detection accuracy and reducing inspection costs by 80%. Led the automation team for manufacturing transfers of highly automated systems for global consumer products.

Full equipment installation, startup validation, and operational stabilization for automated production lines, CNC machines, laser systems, and spot welding equipment across electronics, automotive, and battery industries. Your Abilities: Leading end?to?end commissioning: mechanical installation, electrical verification, control system validation, and performance testing. Coordinating with OEMs, engineering teams, and plant operations to achieve production readiness within tight deadlines. Developing and executing validation protocols (FAT, SAT) and ensuring seamless handover to production and maintenance teams. Accomplishments: Successfully installed and commissioned 10 specialized CNC and woodworking machines within a 3?week deployment schedule, achieving full production readiness without OEM return visits. Led installation and commissioning of 30+ production lines in Mexico and US, ensuring smooth ramp?up and reduced startup failures. Supported technology transfer activities in Nashville, TN, and China, training local teams and ensuring operational continuity.

Preventive, predictive, and corrective maintenance of automated production equipment including PLCs, robots, vision systems, pneumatic systems, and welding equipment. Abilities: Leading maintenance teams to maximize equipment uptime and reliability through structured maintenance programs and root?cause analysis. Developing and implementing preventive maintenance schedules, troubleshooting guides, and technical documentation. Coordinating maintenance activities with production, quality, and engineering teams to minimize downtime. Accomplishments: Led a team of 20+ maintenance technicians at Flex, driving equipment reliability and reducing unplanned downtime through corrective actions and preventive programs. Reduced unscheduled downtime by 45% and extended electrode life by 30% through parameter optimization and preventive maintenance of spot welding systems. Developed bilingual operational and maintenance documentation for CNC, laser, and automated assembly equipment.

Applications: Allen?Bradley ControlLogix, MicroLogix, and Siemens S7/LOGO! PLCs for automated production lines in electronics, battery, manufacturing. Programming in Ladder Logic, Structured Text, and Function Block. Your Abilities: Full lifecycle PLC programming: from concept and logic design to deployment, commissioning, and optimization. Troubleshooting complex control logic, network communications, and I/O failures in live production environments. Modifying and optimizing PLC code to improve cycle times, reduce downtime, and enhance reliability. Accomplishments: Commissioned over 30 fully automated production lines (4 synchronized modules each) integrating PLC controls, vision systems, servo motion, and pneumatics. Reduced production downtime by 40% through structured root?cause analysis and corrective actions in PLC logic and hardware. Developed and maintained PLC programs for automated spot welding, assembly, and material handling systems.

Managing automation and engineering projects end?to?end: scope definition, BOM structuring, cost estimation, vendor selection, timeline management, and cross?functional coordination. Abilities: Leading multi?disciplinary teams and coordinating with international OEMs, suppliers, and internal stakeholders. Delivering projects on time, within budget, and meeting quality and safety standards. Managing technical documentation, operational procedures, and training programs. Accomplishments: Successfully delivered installation and commissioning of 10 CNC machines within 3 weeks, coordinating mechanical, electrical, and control system integration. Managed large?scale manufacturing transfers from China and US to Mexico, ensuring seamless equipment relocation and production ramp?up. Developed comprehensive BOMs and cost estimates for multiple automation projects, ensuring timely delivery and vendor coordination.

Developing custom scripts and applications for data extraction, real?time monitoring, database integration, and automated reporting. Abilities: Writing Python scripts using pyserial, socket, pandas, and tkinter for industrial data acquisition and diagnostics. Designing and managing SQL databases (PostgreSQL, MySQL, SQLite) for production data storage and analysis. Creating automated dashboards and reports using Python, matplotlib, and Excel. Accomplishments: Architected a complete Python?based integration system connecting smart torque wrenches to Oracle databases via TCP/IP, processing over 500,000 torque records with 99.99% data integrity. Developed real?time OEE monitoring systems and production dashboards, reducing troubleshooting time by 40%. Built diagnostic tools for industrial communication channels, enabling rapid issue identification and resolution.

3D modeling, assemblies, animations, sheet metal design, and detailed 2D drawings for automation projects, fixtures, and mechanical integration systems. Abilities: Designing mechanical components and assemblies for automated equipment, inspection fixtures, and cages. Applying GD&T, tolerance analysis, and DFM/DFX principles to optimize designs for manufacturability and assembly. Creating detailed engineering drawings and documentation for fabrication and integration. Accomplishments: Designed and implemented assembly fixtures and inspection gages for electronic components, reducing assembly time by 20%. Developed 3D models and detailed drawings for automation cells, robotic interfaces, and mechanical integration systems. Used SolidWorks animations and simulations to validate designs and communicate concepts to stakeholders.

Configuring, troubleshooting, and integrating industrial communication networks including Ethernet/IP, Modbus RTU/TCP, RS?232/485, PROFINET, and serial?to?Ethernet converters. Abilities: Establishing and diagnosing communication between PLCs, smart tools, sensors, HMIs, and enterprise systems. Developing Python scripts for data extraction, real?time monitoring, and integration with databases. Troubleshooting network connectivity issues, packet analysis, and protocol configuration. Accomplishments: Developed Python?based TCP/IP communication system to capture torque, angle, and fault data from 20+ Kilews torque drivers, enabling full traceability. Integrated production data from RS?232 and TCP/IP devices into PostgreSQL databases for OEE monitoring and production analytics. Provided remote technical support for TCP connection drops, serial communication errors, and protocol configuration issues.

Creating operational procedures, troubleshooting guides, preventive maintenance plans, PFMEAs, and training manuals in both English and Spanish. Abilities: Translating complex technical concepts into clear, actionable documentation for operators, maintenance technicians, and engineers. Developing bilingual documentation for international OEMs and local teams. Ensuring compliance with quality, safety, and operational standards. Accomplishments: Developed and maintained operational procedures, troubleshooting guides, and preventive maintenance documentation for 30+ automated production lines. Delivered bilingual operational and maintenance documentation to production teams for CNC, laser, and assembly equipment. Created training materials and conducted operator and maintenance training sessions for international manufacturing transfers.

Mechanical, electrical, pneumatic, and control system failure analysis; root?cause identification; emergency repairs; remote diagnostics; PLC logic debugging; communication protocol troubleshooting (TCP/IP, Modbus, RS?232/485, Ethernet/IP); and performance optimization. Abilities: Rapidly diagnosing and resolving complex technical failures across mechanical, electrical, pneumatic, and control systems in high?pressure production environments. Applying structured root?cause analysis methodologies (fishbone diagrams, 5 Whys, fault tree analysis) to identify underlying issues and implement permanent corrective actions. Performing remote diagnostics via VPN, log analysis, and diagnostic scripts to identify and resolve issues without requiring on?site presence. Debugging PLC logic, HMI configurations, vision system parameters, and industrial network communications to restore equipment operation within hours. Using Python?based diagnostic tools (pyserial, socket, pandas) to test communication channels, log time?series data, and identify failure patterns. Interpreting electrical schematics, mechanical drawings, and control logic to pinpoint failure points and implement effective solutions. Accomplishments: Reduced troubleshooting time by 40% by developing real?time performance dashboards and historical analysis tools for automated spot welding equipment. Diagnosed and resolved critical TCP connection drops, serial communication errors, and scripting failures for remote integrators, minimizing production impact and restoring operations within hours. Led root?cause analysis and corrective action implementation for automated assembly equipment in battery manufacturing, significantly reducing startup failures and improving equipment reliability. Provided on?site emergency troubleshooting during critical commissioning phases for CNC machines, laser equipment, and automated production lines, achieving full production readiness without OEM return visits. Developed Python?based diagnostic tools to test industrial communication channels, log sensor data, and identify failure patterns across RS?232, Modbus, and TCP/IP networks. Restored operations during critical production stoppages by diagnosing mechanical, electrical, pneumatic, and control system failures, reducing downtime and extending equipment life.

Cognex In?Sight, Keyence, 2D/3D Inspection, Pattern Matching, OCR/OCV, Data Matrix, Barcode Reading, OpenCV, Raspberry Pi, and industrial vision integration with PLCs and HMIs. Abilities: Designing, configuring, and deploying machine vision systems for inspection, quality control, and traceability in high?volume manufacturing environments. Programming vision tools for presence/absence detection, dimensional measurement, pattern matching, character recognition (OCR/OCV), and 2D/Data Matrix code reading. Integrating vision systems with PLCs, HMIs, and production databases for real?time pass/fail decisions, data logging, and statistical process control. Developing low?cost vision solutions using open?source platforms (OpenCV, Raspberry Pi) to reduce costs while maintaining high detection accuracy. Troubleshooting vision system performance issues including lighting, optics, camera positioning, and algorithm optimization. Accomplishments: Designed and deployed low?cost machine vision inspection stations using Raspberry Pi and OpenCV for battery presence and polarity verification, achieving over 95% detection accuracy and reducing inspection costs by more than 80% compared to commercial vision systems. Implemented vision?based data matrix reading and OCR/OCV for full product traceability, reducing quality claims and enabling complete manufacturing audit trails. Developed vision inspection algorithms for spot welding quality verification, ensuring weld integrity and reducing defect rates in battery assembly operations. Configured and optimized vision systems for high?speed pick?and?place applications, integrating with ABB robots and PLC controls for seamless automation.