Muhd Ikmal Hakimi Bin Muhammad Rasli

Engineer with 1 year of experience in control system project execution and preventive maintenance services in the oil and gas industry. Skilled at turning client requirements into technical solutions, with a solid background in logic design, automation, and system integration. Currently transitioning into software development, using hands-on experience with Python, JavaScript, and backend programming. Passionate about building scalable applications and continuously improving through independently developed side projects.

Question Paper Extractor

• a web tool developed with FastAPI, Gemini API, and Vue.js that extracts questions, diagrams, and tables from exam PDFs (rasterized or text-based) into clean, formatted DOCX files—saving teachers hours of manual work.

BitByBit

• a web-app habit tracker built with Vue.js, that helps users build and track habits, displays performance statistics, and sends push notifications to keep users on track.

System Control Panel for Helium Recovery Package

• Developed and implemented the system control panel for a helium recovery package, configuring control strategies, performing FAT, and ensuring precise system integration for efficient recovery and operation.

Logic Diagram for Ethylene Liquefaction Package

• Developed the logic diagram for the control system of an ethylene liquefaction package, integrating process variables and safety interlocks to ensure efficient and safe operation.

Local Control Panel for Nitrogen Generation Package

• Designed, set up, and pre-commissioned the local control panel for a nitrogen generation package, performed FAT and SAT to ensure seamless integration and optimal performance of the PLC-based control system.

Development of Automatic Fish Feeder for Aquaponic Systems

• Developed an automatic fish feeder that dispenses appropriate amounts of food based on fish number and age.

RFID Home Security System with License Plate Recognition

• Automatic gate that opens by detecting RFID and license plate of the house owner vehicle through image processing and machine learning process.