Hi there! I’m Syed Taha
EC Program Design @DSS | TA @IBA | xSWEF @Headstarter
Computer Science Student at IBA, Karachi.
Passionate about AI and software development
I'm currently part of the Executive Council for Program Design at Data Science Society (DSS) IBA and a Teaching Assistant at IBA, Karachi. I have a strong interest in AI, particularly in Generative Adversarial Networks (GANs) and neural network models. I was also a software engineering fellow at Headstarter AI.
In my free time, I enjoy photography, making 3D animations, and visualizing concepts. I also love teaching and sharing knowledge with others.
Learn more about my professional journey and achievements
Visit my LinkedIn profile to get detailed information about my education, work experience, skills, and projects. I have worked on various projects that showcase my skills in AI, machine learning, and software development.
Professional journey and achievements
You can view my full resume to see detailed information about my education, work experience, skills, and projects. I have worked on various projects that showcase my skills in AI, machine learning, and software development.
Some of my notable work in AI and software development
I have worked on several projects, including a GAN with convolutional layers for generating 28x28 pixel images, custom neural networks for image classification and recognition tasks, and a chess engine with advanced AI for move validation and gameplay strategies.
Exploring creativity
My hobbies include photography, writing, 3D art with Blender, and teaching. These activities allow me to capture beauty, express ideas, and inspire others while continuously learning and growing.
My proficiency in various tools and technologies
Experience in developing GANs, neural networks, and various AI models. Proficient in leveraging machine learning frameworks and libraries to build and deploy intelligent systems.
Skilled in software development, including designing and implementing applications and systems. Proficient in multiple programming languages and paradigms.
Strong background in research and analysis, particularly in AI and computer science. Ability to apply analytical thinking to solve complex problems and derive insights from data.