Experience💼

At Rivian, I’m currently leading and contributing to multiple robotics and vision-driven automation initiatives for next-generation electric vehicle manufacturing.

My work includes developing a real-time, vision-guided robotic manipulation pipeline utilizing Keyence cameras and a FANUC robotic arm. The system performs 3D object localization, spatial transformation, and trajectory planning, enabling precise pick-and-place operations in dynamic environments.

In parallel, I’m leading the design of a real-time industrial control system for automated assembly lines. This includes creating PLC-based automation logic and integrating robotic arms, sensor networks, and vision feedback loops to achieve high-precision, synchronized manufacturing workflows.

This role combines my interests in robot perception, controls engineering, and intelligent automation, while providing hands-on experience with high-impact systems used in modern automotive production.

Developed a real-time computer vision system using Python and OpenCV for object detection, screw alignment, and robotic path guidance in an automated screwing application.

Integrated the perception pipeline with Beckhoff PLCs via TwinCAT v3.1 and HMI interfaces, enabling seamless coordination between the vision system, KUKA industrial robots, and servo-driven actuators.

Enabled precision control by interfacing with DH Robotics grippers, inclinometers, and temperature sensors using industrial communication protocols such as EtherCAT and Modbus.

Contributed to improving overall system accuracy and efficiency in a high-speed advanced manufacturing setup by bridging robotics, perception, and control layers.

Developed design deliverables for instrumentation and control systems in oil and natural gas projects.

Created and verified piping and instrumentation diagrams (P&IDs).

Managed the commissioning of instrumentation systems, ensuring proper installation and configuration.

Verified field instrumentation locations and conditions.

Worked with software tools such as SP3D, SmartPlant Instrumentation, and Microsoft Excel.

Developed cutting-edge algorithms utilising 2D LIDAR technology for electronic toll collection, speed monitoring, enforcement, and vehicle profiling.

Achieved significant efficiency gains with a 22% reduction in toll processing time and a 40% cost reduction by strategically choosing an array of 2D LIDAR sensors over 3D counterparts. Employed a 2D bitmap generation for comprehensive vehicle record keeping and maintenance.

Implemented state-of-the-art LIDAR SLAM algorithms, notably Hector SLAM, enabling precise real-time mapping and vehicle tracking using Robot Operating System (ROS 2).

Addressed critical aspects of scalability, maintenance, and regulatory adherence, making the system adaptable for nationwide deployment.

Integrated Heterogeneous control system for a manufacturing facility to AWS cloud:

Learned Fundamentals of Labview Basics, Digital Twin, IIoT, noxVIEW DFI. Observed the Process and Factory Automation.