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France
4 years of experience
I am a certified Appian Developer and seasoned professional with over seven years of experience in the software industry. Specializing in Machine Learning, Artificial Intelligence, and OpenCV, I have a strong track record in delivering impactful solutions using Appian technologies and integrating with systems such as Salesforce, Gmail, Google, Azure, and ChatGPT. Currently pursuing a Master's degree in Computer Vision (VIBOT) in Le Creusot, France, I am open to work under a D-type long-stay visa. With expertise in Python, Django, MATLAB, and advanced AI frameworks, I excel in creating efficient, scalable solutions using Appian record types and process models. I am committed to advancing my career in software development, leveraging my skills to drive innovation and optimize processes.
Inefficient network planning and unmanaged traffic congestion hinder public connectivity, especially in underserved areas. Existing methods fail to strategically place infrastructure or classify network traffic for better bandwidth allocation. Our project, "AI Unified Network Optimizer for Public Connectivity," predicts the optimal placement of network towers and infrastructure using geospatial and demographic data. Machine learning models classify network traffic by type, enabling smarter prioritization and paving the way for AI-driven bandwidth optimization in the future. This hybrid solution combines strategic planning and real-time insights, providing a scalable and cost-effective approach to enhance public connectivity.