Arbab S. Profile

UDFORSK

.NET

C# Programming

C++ Programming

Software Development

Windows Desktop

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$15 USD / time

quetta,

pakistan

$15 USD / time

Det er i øjeblikket 1:30 AM her

Tilmeldt marts 24, 2023

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Arbab S.

@arbabsufyan1

0,0

(0 anmeldelser)

0,0

$15 USD / time

quetta,

pakistan

$15 USD / time

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Genansættelsesrate

IT professional with over eight years experience.

Hi there! I'm Arbab Sufyan, a skilled IT professional with over 8 years of experience. I am excited to offer my expertise on Freelancer to clients looking for Web Development, Web Applications, Software Development, GIS, Machine Learning, etc. I have worked with a wide range of clients on projects ranging from Machine learning to Desktop Applications. I am passionate about delivering high-quality work that exceeds my clients' expectations and helps them achieve their goals. Some of my key skills and strengths include C#, .NET, C++, Python, Crystal Reports, SQL, and many more, and I am proficient in developing leading-edge technologies. I have strong attention to detail and am always looking for ways to improve my work. I believe that clear communication and collaboration are key to successful projects, and I am always willing to go above and beyond to ensure my clients are satisfied with the final result, Whatever you need I am here to help! If you're interested in working with me, please don't hesitate to reach out. I'm looking forward to hearing from you!

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Portefølje indlæg

Hospital Management System

For this project, I used ImageAI and OpenCV to create a machine learning-based solution that automatically detects and counts different sports fields from satellite images. Specifically, the project focuses on detecting baseball, softball, tennis, and football fields from the images.

I utilized my expertise in machine learning and computer vision to design and train the model to recognize these fields with high accuracy. The output of the model includes the count of each field detected in the image, making it easier for users to understand and analyze the data.

Overall, this project demonstrates my ability to apply advanced machine learning techniques to solve complex problems in computer vision. It also showcases my proficiency in working with popular libraries like ImageAI and OpenCV.

Sports Fields Detection from satellite image using ML

In this project, we utilized machine learning to identify and detect buildings in satellite images. By leveraging the power of ImageAI and OpenCV, we were able to create a highly accurate and efficient system for detecting buildings with ease.

Our approach involved training a machine learning model on a large dataset of satellite images, allowing it to learn the distinguishing features of buildings and other structures. We then used this model to analyze new satellite images, accurately identifying the locations of all the buildings in the images.

Our system was able to detect buildings of all shapes and sizes, making it suitable for a wide range of applications. This project represents a significant step forward in satellite image analysis, and we believe that it has the potential to be highly beneficial in a variety of fields.

Overall, we are proud of the results of this project and believe that it demonstrates the power of machine learning in solving complex real-world problems.

Building Detection from satellite image using ML

Inventory Management System

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Erfaring

BUITEMS

feb. 2018 - Nuværende

As a Lecturer at BUITEMS, My current job involves teaching computer science-related subjects to students. My responsibilities likely include preparing and delivering lectures, grading assignments and exams, providing feedback and guidance to students, and staying up-to-date with industry advancements to ensure your curriculum is relevant and engaging.

GroupM

jun. 2016 - jun. 2017 (1 år)

As a systems manager at GroupM Pakistan, My role involved overseeing the design, implementation, and maintenance of various IT systems within the organization. I was responsible for ensuring that all systems were operating efficiently and securely and that they were aligned with the company's overall goals and objectives. This involved working closely with other departments to identify their IT needs and developing solutions to address those needs.

Logical Creations

jul. 2012 - nov. 2014 (2 år, 4 måneder)

As a software engineer at Logical Creations, I was responsible for designing, developing, testing, and maintaining software applications for clients. My role involved working closely with project managers and other team members to ensure that the software met the requirements of the client and was delivered on time and within budget. Overall, my job involved utilizing technical skills to create high-quality software solutions for clients.

Uddannelse

Master in Computer Science

Balochistan University of Information Technology and Management Sciences,

Pakistan

2018 - 2021

(3 år)

Kvalifikationer

Oracle University

2016

The Oracle Database 11g Administration II certification is designed for IT professionals who want to demonstrate their expertise in managing and maintaining Oracle databases. This certification covers advanced topics such as backup and recovery, database performance tuning, and troubleshooting. It requires passing an exam that tests knowledge and practical skills in these areas. This certification can enhance an IT professional's credibility and career opportunities in database administration.

Pakistan Space and Upper Atmosphere ResearchComission (SUPARCO)

2019

Certification in Satellite Remote Sensing involves gaining expertise in the use of remote sensing technologies and applications to gather, analyze, and interpret data from satellite imagery. This certification covers various aspects of remote sensing, including image processing, interpretation, and analysis using software and tools such as GIS, ENVI, and ERDAS. The training also covers the principles and applications of remote sensing in different industries.

Publikationer

A novel multimodality anatomical image fusion method based on contrast and structure extraction

International Journal of Imaging Systems and Technologyw

Image modalities, such as computed tomography (CT), magnetic resonance imaging (MRI), single-photon emission computed tomography (SPECT), and so on, reflect various levels of detail about objects of interest that help medical practitioners to examine patients' diseases from different perspectives. A single medical image, at times, may not be sufficient for making a critical decision; therefore, In this article, we present a novel weighted term multimodality anatomical medical image fusion method