Dipak Kumar

• Directed a team of engineers and technicians in the design, development, and deployment of automation solutions for manufacturing processes. • Managed technical projects from concept to completion, ensuring deadlines were met and project objectives were aligned with client needs. • Provided mentorship and training to team members, fostering professional development and ensuring technical competencies were maintained. • Acted as the primary point of contact between stakeholders, management, and clients for project updates, technical support, and troubleshooting. • Oversaw the integration of robotic systems, PLC programming, and machine vision for optimized manufacturing workflows. • Coordinated and prioritized tasks to ensure efficient resource utilization and timely project delivery. • Led troubleshooting efforts for complex system failures, providing hands-on support to resolve issues across multiple automation systems.

• Installed, calibrated, and provided on-site support for vision systems (Keyence, Cognex) used in the manufacturing of Apple iPhone products. • Led the commissioning of new automation machines, including robotic systems (EPSON, DENSO, Mitsubishi) and vision systems. • Troubleshot and resolved recurring technical issues related to machine calibration, vision system accuracy, and robotic movement. • Managed RCCA (Root Cause Corrective Action) reports, addressing machine downtime and implementing corrective actions. • Supported the retrofit and system upgrades for legacy machinery, ensuring compatibility with new equipment and technologies. • Provided training to team members on the effective use of vision systems and robotic calibration techniques. • Coordinated with suppliers and internal teams to facilitate the continuous improvement of manufacturing lines.

• Installed and maintained automation systems for the assembly, testing, and packaging of handheld devices. • Worked with various technologies such as cameras and sensors to integrate image processing solutions into the manufacturing workflow. • Troubleshot and diagnosed failures in automation systems, including robotic arms and conveyor systems, ensuring minimal downtime. • Optimized robotic processes and machine vision systems to streamline testing and packaging procedures. • Monitored UPH and machine capacity, ensuring alignment with production targets and standards. • Planned and executed improvements to machine cycle times, directly contributing to production efficiency.