Machine Learning Engineer
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My interest in ML is intuitive. It presents my natural tendency to recognize patterns and build confidence in my ability to create an alternate, automated means for reaching decisions. This has proven helpful in gaining a competitive edge and optimizing business performance in my previous and current employment.
I am experienced in developing Recommendation System prototypes and websites that are easily accessible and scalable, using analytical tools in Python, R and Google Apps Script programming languages.
My focus is on building, managing and developing ML Models using computer vision to recommend best fits as well as automating model deployment. These projects represent an understanding of concepts, problem solving, and a speed-to-production mindset as well as my core strength in being naturally tractable.
I am always willing to learn and I'm always up for a new challenge. My current interests are in building competence/mastery in MLOPs, CI/CD and cloud computing.
My goal is to secure a doctorate as well as my dream job in a work environment where long-term ambitious research in Biostatistics flourishes as a function of interdisciplinary contribution from deep learning, reinforcement learning and systems neuroscience; ultimately to give back to the community.
Daniel Amah is a software engineer with over four years of experience in developing web and mobile applications. He has worked with various technologies, such as Firebase, GCP, and AWS. He has also contributed to open source projects and participated in hackathons. Daniel is passionate about creating innovative solutions that solve real-world problems and improve people's lives. He is always eager to learn new skills and collaborate with other developers.
I am a self-taught developer with a passion for creating innovative solutions using cutting-edge technologies. I have experience in developing web and mobile applications, as well as data analysis and visualization tools. I am currently pursuing a master's degree in Business Admin., where I aim to enhance my skills in entrepreneurship, leadership and strategic management. I am eager to apply my knowledge and expertise to real-world challenges and opportunities.