
Electronic Engineer & AI Researcher
Synthesizing sensor arrays and machine intelligence for IR4.0 at the Malaysian Rubber Board.
Research Active
MRB AI Chatbot v1.0
Malaysian Rubber Board
Spearheading the integration of Industrial AI and intelligent chatbot systems for the rubber industry.
JVCKENWOOD
Optimized production lines for high-efficiency mass production and executed rigorous software QC.
UTeM
Specialized in Robotics & IoT. Research focused on ROS-based autonomous navigation. CGPA 3.45.
POLISAS
Focused on Communication Systems. Graduated with CGPA 3.74.
Awarded 3rd Place as Mission Manager. Engineered sensor-array interfacing using Arduino Master/Slave architecture and long-range NRF24L01 telemetry.
Directing Pre-Preparation to Mass Production stages. Specialized in line-balancing, productivity improvement, and firmware validation.
Conducted deep-dive performance analysis on Adaptive Monte Carlo Localization (AMCL) within the Robot Operating System (ROS) framework.