Muhammad Wishal Khan
AI and ML expertise to provide scalable & affordable solutions for small businesses and education.
Muhammad is a passionate and experienced tutor cum PhD researcher in Artificial Intelligence, specializing in swarm intelligence optimization. With a strong background as a former Software Engineer and programming tutor, Muhammad combines his deep academic knowledge with practical industry experience to deliver exceptional educational experiences. He is dedicated to making advanced technology concepts accessible and understandable for all learners.
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Extensive Experience in Teaching and Research

1

Tutor at CityLit
Leveraging four years of teaching experience to guide students through the fundamentals and advanced topics in Python and AI.

2

PhD Researcher in AI
Conducting cutting-edge research in Artificial Intelligence at the University of Greenwich, specializing in Swarm-Intelligence Optimization (Government Funded Research).

3

Founder at Kuliyyah.AI
Pioneering an online platform that provides comprehensive programming, technology, and app development education for all age groups.

4

Software Engineer at TUSAS
Industrial experience in leveraging machine learning and big data for sixth-gen Defence and Aerospace manufacturing of autonomous UAV technology.
Impressive Portfolio of Projects
Kuliyyah.AI
Developing an innovative online platform that delivers coding and technology lessons to learners of all ages, democratizing access to high-quality education.
SWARM-TR and SWARM-NAV
Pioneering the use of swarm intelligence algorithms to enhance medical imaging and optimize UAV path planning, achieving record-breaking performance whilst minimizing computational requirements.
Computer Vision and NLP
Applying state-of-the-art object detection, classification, and natural language processing techniques to create cutting-edge applications, such as drone-assisted fire detection and commercial chatbots.
Nuclear Imaging
Current research engagement in optimizing radiation intense CT processes via research in swarm-intelligence algorithms and deep neural networks
Comprehensive Consultation and Expertise
Navigation Optimization
Leveraging swarm intelligence to solve the Traveling Salesman Problem and optimize navigation, logistics, and transportation.
Logistics Efficiency
Applying swarm intelligence algorithms to enhance decision-making and improve operational efficiency for small businesses.
Image Processing
Utilizing state-of-the-art computer vision techniques for applications like fire and smoke detection in drones.
Network Optimization
Optimizing complex network systems and resource allocation using swarm intelligence principles.
App Development
My approach ensures scalable, high-performance solutions that streamline operations and provide exceptional user experiences
AI Marketing
My expertise ensures that small businesses can harness the power of AI for effective, data-driven marketing
IOT
My expertise allows small businesses to implement scalable, cost-effective IoT systems without requiring extensive computational resources.
Education
I provide comprehensive tutoring that bridges theory and practice, preparing students for real-world applications through my novel 2-step solution to programming anything.
Goal : Democratizing AI with Education & Swarm Intelligence for cost-effective solutions
Leveraging swarm intelligence to make AI solutions accessible for small businesses and communities
It is imperative to educate and empower all segments of society on utilizing AI and technology to prevent inequality and injustice in opportunities, knowledge, wealth, commerce, and overall civilizational advancement. The industrial revolution brought significant advancements and changes to the global world. However, these advancements disproportionately enriched the elite, failing to lift people out of poverty and disregarding the needs of the less privileged. The benefits were concentrated among the wealthy, both within countries and globally, leading to a widening gap between rich and poor. Furthermore, poorer countries became wholly dependent on the technology of richer countries, which exacerbated their economic and technological disparities. To avoid repeating these mistakes, it is crucial to ensure equitable access to AI and technological advancements, fostering a more inclusive and just society.
It is imperative to educate and empower all segments of society on utilizing AI and technology such that inequality and injustice of opportunities, knowledge, wealth, commerce and overall civilizational advancement are prevented in this regard. The industrial revolution indeed brought about significant advancement and transformation in the global landscape, but it did so at the cost of deepening the divide between different socio-economic classes. While the wealthy elite enjoyed unprecedented growth and accumulation of wealth, the less privileged segments of society were largely neglected, and the promised benefits of technological progress failed to reach them. Instead of lifting people out of poverty, the industrial revolution often exacerbated existing inequalities, entrenching the positions of those who were already in power and widening the gap between the rich and the poor.
The consequences of this disparity were not confined within the borders of individual countries. On a global scale, the industrial revolution led to a stark division between wealthy and poorer nations. Wealthier countries, which spearheaded technological advancements, leveraged their innovations to dominate global markets and exert economic and political influence over less developed countries. These poorer nations, lacking the resources and infrastructure to develop their own technologies, became increasingly dependent on the technological prowess and products of the richer countries. This dependency entrenched a cycle of poverty and underdevelopment, as poorer countries were forced to allocate substantial portions of their limited resources to import technologies and services from the industrialized world, often at the expense of investing in their own sustainable development.
Moreover, the industrial revolution's focus on mass production and industrial efficiency often came at the expense of human well-being and environmental sustainability. In many cases, labor conditions in factories were abysmal, with workers subjected to long hours, low wages, and unsafe working environments. The environmental degradation caused by unchecked industrial activity also disproportionately affected poorer communities, who lacked the means to mitigate its impacts. This pattern of neglect and exploitation highlighted the need for a more equitable and just approach to technological advancement.
In light of these historical lessons, it is essential that the ongoing revolution in AI and technology be approached with a commitment to inclusivity and equity. Ensuring that all segments of society have access to the benefits of AI and technology is not only a moral imperative but also a practical necessity for achieving sustainable development and social cohesion. This requires deliberate efforts to bridge the digital divide, invest in education and skills development for all, and create policies that promote fair distribution of technological gains.
By fostering an environment where AI and technology are accessible to everyone, regardless of socio-economic status or geographic location, we can help prevent the concentration of power and wealth in the hands of a few. This approach can empower marginalized communities, stimulate economic growth in underdeveloped regions, and promote global cooperation. Ultimately, the goal is to create a world where technological progress benefits all of humanity, lifting people out of poverty, reducing inequality, and enabling everyone to participate in and contribute to the advancements of our time.
Client Study : AI Marketing and Ads Optimization
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