MECHATRONICS ENGINEER | USM

Mohammad Qayyum
Bin Varisai Mohammed

ENGINEERING SOLUTIONS FOR A SMARTER, SUSTAINABLE FUTURE. Driven by creativity, innovation, and a passion for technology.

Kajang, Selangor qayyumm093@gmail.com LinkedIn
Mohammad Qayyum

Experience

Aug 2024 - Oct 2024

Equipment Engineer Intern

Texas Instrument Malaysia Sdn Bhd

  • Assisting in troubleshooting IC test machinery experiencing downtime, root cause analysis and statistical analysis.
  • Developed a predictive maintenance system for ASM MPHENIX using PLC based system.
  • Self-Initiated project to automatically count semiconductor IC strips, with pending patent on design and system.

Aug 2024 - Aug 2025

Cobot Development (FYP)

Sandisk Sdn Bhd, Penang

  • Design and Development of Interchangeable Modular Gripper for Cobot Robotic Arm.
  • Integrated wireless power transfer and wireless communication systems.

Education

Bachelor of Mechatronic Engineering

CGPA: 3.80

Universiti Sains Malaysia | Expected Oct 2025

Consistent Dean's List Awards for Semester 1-7. Active in leadership roles including EXCO R&D for Student Society of EEE.

Matriculation Program (Science)

CGPA: 4.0

Selangor Matriculation College | 2020 - 2021

Featured Innovations

Smart Manufacturing
Advantech AIoT InnoWorks

PREMIS-F: Smart Manufacturing Dashboard

Developed a functional demo model of a smart manufacturing system centered around a conveyor belt, equipped with Advantech data acquisition modules and sensors.

System Features:
  • 3D Digital Twin: Fully integrated dashboard using Advantech IoT Cloud.
  • AI-Driven Prediction: Embedded ML model to predict potential motor faults.
  • Automated Alerts: Real-time email notifications for anomalies.
Machine Learning IoT Cloud

IoT Integrated Smart Agriculture System

Designed a retractable greenhouse roof using a raindrop sensor and integrated a dual-axis solar tracking system. Developed an Arduino IoT Cloud-based system for real-time monitoring of soil moisture, humidity, and pH. Implemented an ESP32-CAM-based insect detection system.

Arduino IoT Blynk 2.0 ESP32-CAM

Make-Up Kit Assembly Robotic Arm

Engineered a 6-DOF robotic arm controlled via the National Instruments MyRIO board, programmed using LabVIEW for real-time motion control. Designed a tailored power supply unit comprising a servo motor, voltage regulators, and DC-DC converters for safety and efficiency.

NI MyRIO LabVIEW Power Systems

Core Expertise

Hardware & Systems

Strongly interested in the fields of IoT, Analog Systems, Microelectronics, and Embedded Systems.

PLC Design Arduino FPGA IoT Cloud

Software & Programming

Capable of developing technical logic and integrated solutions using various languages.

C++ Python Java Assembly Language LabVIEW

Design & Simulation

Proficient in utilizing industry-standard CAD and simulation tools for engineering design.

SOLIDWORKS ANSYS Multisim ORCAD