I'm
Omer Farook
Senior Software Engineer, .NET Developer, Cloud Specialist
I'm
About Me
Senior Software Engineer with more than 15 years of experience in leveraging technology
for business solutions, specializing in architecture, modernization, innovation, automation,
and cloud-native applications development.
My passion and ambition have led me down the road of developing & designing windows & web applications
for various organizations and persons overseas. My journey has taken me on a thrilling ride, where I have
crafted innovative solutions for organizations and individuals across the globe. With a
diverse skill set that encompasses the latest programming languages and technologies, I
am an expert in .NET, SQL, Elastic Search, MongoDB, JavaScript, and TypeScript along
with strong hands-on experience in Azure and AWS.
In a world where technology is constantly shaping the future, I am driven to be a part
of the change. I am constantly pushing the boundaries and expanding my knowledge to stay ahead of the
curve. My ultimate goal is to create impactful solutions that make a difference in people's lives.
Back-End Development
95%
Front-End Development
80%
Cloud Development
90%
Winform Development
85%
Skills
Experience
Publications
The study discusses the revolutionary impacts of artificial intelligence (AI) on Electric Vehicles. The combination of Artificial Intelligence (AI) technology and Electric Vehicles (EVs) has disruptive potential. Vehicle performance, safety, and user experience are all improved by this confluence. AI systems enhance energy management, increasing EV range and charging effectiveness. Predictive maintenance is made possible by real-time data analytics, which lowers downtime and increases overall reliability..
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Industrial Internet of Things (IIoT) systems generate vast amounts of data from sensors and devices in real-time. This paper proposes an innovative approach that combines edge computing and federated learning for efficient and real-time anomaly detection in IIoT environments. The goal is to enhance the reliability and responsiveness of anomaly detection systems crucial for maintaining the integrity and security of industrial processes.
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