Summary
Highly skilled and results-oriented Industrial Automation Engineer with 6 years of experience designing, implementing, and optimizing complex control systems in manufacturing environments. Proficient in PLC programming, SCADA development, and robotic integration, I have a proven track record of enhancing operational efficiency and reducing downtime. Adept at leading cross-functional teams to deliver innovative automation solutions that meet stringent production goals and safety standards.
Experience
- Led the design and implementation of 4 new production lines, integrating Rockwell Automation PLCs and FactoryTalk View SE, resulting in a 25% increase in throughput.
- Optimized existing robotic welding cells (FANUC) by reprogramming paths and logic, reducing cycle time by 1.5 seconds per unit and saving $150,000 annually in labor costs.
- Developed and deployed a SCADA system for real-time plant monitoring, cutting equipment downtime by 18% through improved fault detection and diagnostic capabilities.
- Mentored junior engineers on best practices for PLC programming and system commissioning, enhancing team productivity by 20%.
- Programmed and commissioned over 15 automation cells using Siemens TIA Portal and WinCC HMI for automotive clients, achieving 99.5% operational readiness.
- Collaborated with mechanical design teams to integrate vision systems (Cognex) for quality control, reducing defect rates by 12% across multiple product lines.
- Implemented industrial network architectures (Profinet, EtherNet/IP) for seamless data exchange between PLCs, HMIs, and plant MES, enhancing data integrity by 98%.
- Reduced project commissioning time by 10% through the standardization of PLC code blocks and HMI templates, saving an estimated 80 hours per project.
Projects
- Designed and integrated a vision-based inspection system using Cognex cameras and a FANUC robot, reducing manual inspection time by 70%.
- Developed PLC logic to control part indexing and rejection mechanisms, achieving a 99.8% accuracy rate in defect detection.
- Implemented data logging and reporting features to track defect trends, leading to process adjustments that decreased scrap rates by 5%.
- Developed a proof-of-concept predictive maintenance system using Siemens S7-1500 PLCs and MQTT for data transmission to a cloud platform.
- Implemented algorithms to analyze vibration and temperature data from sensors, predicting potential failures up to 3 weeks in advance.
- Demonstrated a potential for 15% reduction in unplanned downtime and significant maintenance cost savings for industrial HVAC systems.
- Created an intuitive SCADA-based dashboard for real-time energy consumption monitoring across a manufacturing plant, utilizing Rockwell FactoryTalk View SE.
- Integrated data from power meters and machine controllers, providing insights that helped identify energy waste and optimize production schedules.
- Contributed to a plant-wide initiative that resulted in a 8% reduction in annual energy costs.
Education
- Specialized in Control Systems and Robotics
- Graduate Research Assistant, focused on predictive maintenance algorithms for industrial machinery
- GPA: 3.8/4.0
- Recipient of the Dean's Award for Academic Excellence (2017)
- Senior design project: Automated sorting system using computer vision and collaborative robots



