As a skilled software engineer with an extensive background in multiple programming languages, including C# and Python (Flask, Django, Pyramid, AIOHttp), I am confident in my ability to deliver on your AI-powered Near-Miss Analysis Module development project. Having worked across multiple frameworks such as .Net, .Net Core, and Angular to name a few, I understand how to leverage the power of technology to drive impactful solutions.
Consider my proficiency in Computer Vision and Machine Learning an asset to this project. In the past, I have developed algorithms that precisely detect and classify images which aligns perfectly with your need to analyze traffic camera data for near-miss incidents. As a full-stack developer, I can guarantee a real-time software solution that doesn't compromise on accuracy or speed.
What sets me apart is my commitment to customer satisfaction. With over 10 years in the field, I know how important it is to prioritize not just the technology, but the end-user's needs. Let's work together to create a transformative software module that significantly enhances road safety, especially for cyclists.