F.Farhan

Work

Throughout my career, I created a few tools for automation to have standardization in report and quickly check the results on-site. Other than that, on my free time I also use my knowledge in frontend dev to help small businesses in creating website landing page.

Radar Object Detection Analysis

Radar Object Detection Analysis

This project utilized Python and Tkinker for GUI for analyzing radar object detection data (CAN signals) to efficently analysis the functionality and performances of Advanced Driver Assistance Systems (ADAS). The analysis focuses on detecting and interpreting radar signals to improve vehicle safety and navigation.

PythonxmlsqliteCAN
Exit Warning Auto Report

Exit Warning Auto Report

This project involved the development of an automated reporting system for exit warning functionalities in vehicles. Using Python and Tkinker for GUI, the system analyzes data from Advanced Driver Assistance Systems (ADAS) to generate comprehensive reports on exit warning performance, enhancing vehicle safety and driver awareness.

PythonxmlsqliteCAN
Rear Collision Traffic Assist Auto Report

Rear Collision Traffic Assist Auto Report

This project involved the development of an automated reporting system for rear collision traffic assist functionalities in vehicles. Using Python and Tkinker for GUI, the system analyzes data from Advanced Driver Assistance Systems (ADAS) to generate comprehensive reports on rear collision assist performance, enhancing vehicle safety and driver awareness.

PythonxmlsqliteCAN
WithWagyu E-Commerce

WithWagyu E-Commerce

I designed and developed a full-stack e-commerce website for WithWagyu, a brand offering fresh, Halal-certified wagyu beef in Japan. The platform features product listing, cart, and checkout functionality, with Supabase as the backend and Kinde for user authentication. Built using Next.js and Tailwind CSS, the site is optimized for mobile and deployed on Netlify for cost-effective performance.

NextJsCss 3TailwindcssshadcnSupabaseKinde
HMI Test Automation & Evaluation

HMI Test Automation & Evaluation

This project involved the development of a test automation framework for Human-Machine Interface (HMI) systems. Using Python and Vector CANoe, the framework automates the testing and evaluation of HMI functionalities, ensuring reliability and performance in automotive applications.

PythonVector CANoeJavaScript