We can organize an interview with Aldin or any of our 25,000 available candidates within 48 hours. How would you like to proceed?
Schedule Interview NowMy name is Murad A. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Machine Learning Model, C++, Python, TensorFlow, PyTorch, etc.. I hold a degree in Bachelor of Engineering (BEng), Master of Philosophy (MPhil). Some of the notable projects I've worked on include: Yolov8 Segmentation with PyQt5, Fine-tuing of Yolov8 for the Segmentation Task on the OpenImageV7 Data, Analysis of the Electric Vehicles (EVs) Dataset, Tracking Vehicles on the Bridge and Match with the Virabtation Signal. I am based in Sai Kung, Hong Kong. I've successfully completed 4 projects while developing at Softaims.
I approach every technical challenge with a mindset geared toward engineering excellence and robust solution architecture. I thrive on translating complex business requirements into elegant, efficient, and maintainable outputs. My expertise lies in diagnosing and optimizing system performance, ensuring that the deliverables are fast, reliable, and future-proof.
The core of my work involves adopting best practices and a disciplined methodology, focusing on meticulous planning and thorough verification. I believe that sustainable solution development requires discipline and a deep commitment to quality from inception to deployment. At Softaims, I leverage these skills daily to build resilient systems that stand the test of time.
I am dedicated to making a tangible difference in client success. I prioritize clear communication and transparency throughout the development lifecycle to ensure every deliverable exceeds expectations.
Main technologies
2 years
1 Year
1 Year
1 Year
Potentially possible
HKUST
This project aims to develop a PyQt5-based GUI that loads the test images and helps to identify the barrels in the image. The Yolov8 has been fine-tuned on the barrel images taken from the OpenImageV7
The purpose of this project is to fine-tune the Yolov8 model on the selected class from the OpenImageV7 dataset. I developed a notebook that has the following properties. 1) Automatically download th
This project is related to the data analysis. Which I used the electric vehicles (EVs) dataset available through the Washington State Department of Licensing (DOL). The following are the key takeaways
This project aimed to install the vibration sensors under the bridge and also gather the video feed and apply Yolov3 to identify the vehicles to match the vibration signal of the vehicles passing on t
Bachelor of Engineering (BEng) in Electrical engineering and Computer science
2015-01-01-2019-01-01
Master of Philosophy (MPhil) in Internet of Things (IoT), Machine Learning
2019-01-01-2023-01-01