Embedded Systems Machine Vision

Moizuddin Shah

****-****@*******.*** 518-***-****

EDUCATION

Texas A&M University, College Station, Texas MAY 2023 Bachelor of Science in Multidisciplinary Engineering Minor in Embedded Systems Integration

GPR: 3.4

EXPERIENCE

Nabors Drilling USA, Houston, TX OCT 2023 – AUG 2024 Controls and Automation Technician

• Supported and maintained automated rough neck and pipe handling RZR systems on Nabors rigs. o Reduced drill string well insertion time by 20% compared to average o Reduced drill string extraction time by 35% compared to average

• Performed software upgrades, network troubleshooting, and hardware installations for rig HMIs, IPCs, and PLCs

• Installed Machine Vision hardware for RZR-lite system upgrades on rigs and connected components to rig network and electrical cabinets

• Imaged, configured, and installed servers for Nabors Automation Software and Equipment products on rig floor and man camp

Beckhoff Automation, Houston, TX JUN 2023 – AUG 2023 Automation Intern

• Designed automated parking ticket validation system for Houston office utilizing TwinCAT Machine Vision, Python, and Beckhoff IPC and PLC

• Designed Ping Pong robot for Houston office utilizing Beckhoff IPC, PLC, Beckhoff servo drives, TwinCAT Motion, and Structured Text

PROJECTS

AUTOMATED STRIKE-BALL BASEBALL SYSTEM

• Successfully designed a prototype system to make judgements about baseball strikes and balls for The Lab at Hustle3

• Utilized Machine Vision to track baseballs and define a strike-zone within 3D space

• Developed and deployed system on a Linux based developer kit METAL DETECTION ROBOT

• Designed a metal detecting robot that used LiDAR to navigate surroundings while searching for objects.

• Designed and Soldered a simple metal detector PCB for robot to utilize

• Programmed PID control for motors and obstacle detection with Python EMG PAC-MAN CONTROLLER

• Designed an electrical instrumentation system and program to use electromyography to control a game of Pac-Man via muscle contractions.

• Utilized an Arduino Nano for the computational unit programmed in C and local machine with LabVIEW to interpret data

SKILLS

· Lean Six Sigma Yellow Belt Certified, Soldering

· Bash, C, C++, Java, Python, Python Machine Learning, RTOS Programming, Structured Text

· Bilingual – English and Urdu

· Linux Experience

· NI LabVIEW, Multisim, TwinCAT 3, TwinCAT Motion, TwinCAT Vision

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