I'm a driven and analytical Computer Engineering graduate with a strong foundation in machine learning, natural language processing and full-stack app development. I have proven experience in building AI systems with a focus on NLP, streamlining enterprise software, and deploying research-based solutions.

Everything AI and Community Building related

- Socia (The Largest Hackathon Community in the UAE) - Modulus (AI Data Scientist) - Baian (Emirati Dialect Arabic Learning AI Speaking Tutor)

Sultan Alshehhi is a Computer Engineering graduate currently pursuing a Master’s in Machine Learning at MBZUAI. He is passionate about artificial intelligence, computational neuroscience, and building technologies that create real-world impact. Sultan has worked on advanced research projects including EEG-to-speech synthesis using machine learning and hardware accelerators for post-quantum cryptography. He has earned multiple awards, most notably winning the Smart Mobile Application Contest 2024 for his sustainability-focused app GreenCart and placing in the Green Campus Competition with his project WasteWatt. Alongside his research, Sultan has been an active leader in the AI community, serving as the Events Chair of the AI Club and mentoring peers in engineering and programming. Skills - 

I am interested in advancing research and applications in artificial intelligence, machine learning, and computational neuroscience, particularly in brain-computer interfaces, EEG signal processing, and speech synthesis. I am also keen on exploring sustainable AI solutions, hardware acceleration for high-performance computing, and collaborative projects that bridge technology with real-world impact. I look forward to connecting

I am currently tinkering on Nabra, a narrative-driven AI project that supports children with speech impairments and helps clinicians achieve faster, more accurate diagnoses by analyzing speech patterns. I am also working on Baian, a platform aimed at leveraging AI for innovative problem-solving and data-driven insights. Additionally, I am exploring EEG-to-speech synthesis using machine learning.

Aditya Chatterjee is an AI & DevOps Engineer at Khalifa University, with 3 years of experience. He is interested in Artificial Intelligence, Machine Learning, and Autonomous Racing.

Artificial Intelligence, Machine Learning, Natural Language Processing, Autonomous Racing, Computer Engineering, AI/ML Solutions, Team Leadership, Programming Languages

Developing a colonic cancer detection and classification AI, deploying transformers for network intrusion detection, and building Sleep2Earn, a Next.js, Prisma, and Tailwind web app. Also processing autonomous vehicle data with ROS and managing MLOps pipelines on Azure.

Adam Ahmed Ibrahim is an Undergraduate Research Assistant at United Arab Emirates University, where he is pursuing a Bachelor of Science in Computer Science. With a solid foundation in software development and artificial intelligence, Adam is passionate about leveraging technology to create meaningful solutions. He is currently developing a Python-based monitoring system for solar panel cleaning and an assistive robotic gripping device, focusing on machine learning and AI projects. Adam's hands-on experience with programming languages like Python and tools such as Arduino highlights his commitment to innovation and collaboration in the tech field. He is open to work and seeks mentorship to further enhance his skills and impact.

AI, software development, machine learning, assistive technology, solar panel monitoring, robotic gripping devices, Python programming, Arduino projects, neurodivergence technology solutions

Apps made for individuals of neurodivergence