Zahid Ur RahmanZR
Open to opportunities

Zahid Ur Rahman

@zahidurrahman

AI developer and Python expert with a focus on deep learning.

Malaysia
Message

What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can leverage my AI expertise to drive impactful projects and contribute to a forward-thinking team.

I am a dedicated AI developer and Python expert with extensive experience in deep learning and computer vision. My journey has been marked by a strong commitment to advancing technology through innovative solutions, particularly in the agricultural sector. I have published several research papers, including systematic reviews on the application of deep learning in animal farming, showcasing my ability to bridge the gap between theory and practical implementation.

Throughout my freelance projects, I have developed a range of applications, from automated PCB defect analysis to real-time monitoring systems for chicken farms. My proficiency in Python, TensorFlow, and various machine learning frameworks has enabled me to create user-friendly interfaces and robust backend systems. I thrive on challenges and continuously seek opportunities to enhance my skills and contribute to impactful projects.

Experience

Work history, roles, and key accomplishments

AT

Product Design Engineer

Australasia Technologies

Mar 2015 - Present (10 years 4 months)

Designed and developed new products according to customer specifications, including programmable automation controllers and GUIs for touchscreen panels and mobile apps. Provided technical support to manufacturing and modified existing product designs.

MT

Junior Lecturer

Mirpur University of Science & Technology

Oct 2013 - Present (11 years 9 months)

Conducted lab activities, demonstrated experimental procedures, and performed troubleshooting and maintenance of lab equipment. Designed a CNC-based ink printer for RFID sensor fabrication and a dip coater for electronic device fabrication.

Education

Degrees, certifications, and relevant coursework

University of Science Malaysia logoUM

University of Science Malaysia

PhD Research Scholar, Imaging and Computer Vision

Activities and societies: PhD research on Imaging and computer vision. Analysis of Deep and Machine learning algorithms particularly used in GENAI. Data augmentation using Generative Adversarial Network. GAN based data augmentation and its applications in forming. Developed Robot Operating Systems like(ROS1 and ROS2) based AI control.

Currently pursuing a PhD in Imaging and Computer Vision, focusing on the analysis of Deep and Machine Learning algorithms, particularly in Generative AI. Research includes data augmentation using Generative Adversarial Networks (GANs) and their applications in farming, as well as developing AI control based on Robot Operating Systems (ROS1 and ROS2).

Mirpur University of Science and Technology logoMT

Mirpur University of Science and Technology

Bachelor of Science in Electrical Engineering, Electrical Engineering

Grade: 3.65/4.00

Activities and societies: Final Year Project: Integration of renewable energy sources for hybrid train operation. Supervisor: Dr. Saeed Ahmed. Got ICT R&D Funding for FYP expenditure.

Obtained a Bachelor of Science in Electrical Engineering with a final year project on the integration of renewable energy sources for hybrid train operation. This project involved installing micro and nano-level distributed renewable energy sources such as piezoelectric generators, wind turbines, and small solar panels on a train, connecting them in series and parallel to achieve desired output fo

Mirpur University of Science and Technology logoMT

Mirpur University of Science and Technology

Master of Science in Electronics, Electronics

Grade: 3.8/4

Activities and societies: Thesis: Unconstrained face recognition using infrared images. Supervisor: Engr Asif Raza Butt

Completed a Master of Science in Electronics with a focus on unconstrained face recognition using infrared images. The thesis involved building 3D face models from 2D frontal faces, synthesizing virtual faces with different poses for training, and analyzing the performance of classical and deep learning algorithms on infrared images in unconstrained environments.

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