Possible summary: As a Software Developer at AWS AI - Computer Vision, I apply my passion and expertise in cutting-edge technologies and frameworks to create innovative solutions for Tier 1 Customer Facing Service (Amazon Lookout For Vision). I have extensive knowledge of micro-services development using native AWS tools, such as SageMaker, DynamoDB, Lambda, CloudFormation, and Kubernetes. I also leverage advanced tools like PyTorch, OpenCV, Flask, and Git to implement end-to-end Computer Vision and Deep Learning stack. I have a proven track record of success at leading technology companies, including Greenman Pedersen and Cingularity, where I designed and developed high-performance Computer Vision pipelines for Roadway Feature Extraction and License Plate Recognition, achieving impressive accuracy and speed metrics. I have also received prestigious accolades, such as the Intel Ultimate Coder and Eclipse Open IoT Challenge, for my innovative projects and research in the field of deep learning. I hold a Master's degree in Computer Science from the University of Central Florida, where I honed my skills and knowledge in Artificial Intelligence, Machine Learning, and Data Science. I am a strong advocate of "Learning by doing" and a collaborative team player who fosters knowledge sharing and effective communication.