Team
ContosoAE
Project Concept
No description has been added yet.
Entry
Status: In Progress
Last saved: May 03 at 3:01 PM +04
Team Roster
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Aditya Chatterjee Team Lead RSVP Approved
Student at Khalifa University
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 RSVP Approved
Undergraduate Research Assistant at UAEU
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
Kevin Perez RSVP Approved
Senior Software Engineer at Token 13 Software L.L.C
Human
Machine Learning
Blockchain
Distributed Systems
High performance software
Agentic AI workflows that can build, evolve, and maintain large-scale production systems while preserving architecture, reliability, and development velocity. Not just "greenfield" projects.