Amal Thomas

I'm an engineering graduate and Machine Learning engineer. I am passionate in developing creative solutions in real world applications using the power of AI and Machine Learning.

I have a Master's specializing in Machine Learning and Robotics from University of Cincinnati, Ohio. I am comfortable coding in Python, C++ and Bash and can develop ML workflows and systems using libraries like PyTorch, MLFLow, Scikit-learn, and OpenCV.

During my time working at Proctor & Gamble, I got the opportunity to learn and gain experience with leading experts in data science. I have developed and implemented several ML and DL algorithms for various AI tasks in Healthcare, computer vision and NLP. I consider every new experience as an opportunity to learn and contribute to collaborative projects.

I also enjoy reading books, running and trading crypto.

Over the years, I've gained substantial experience in utilizing various machine learning models and data analysis tools. My work also involved employing data science approaches to draw insights from consumer feedback data, data visualization, creating forecasting models, and generating comprehensive reports for strategic solutions.

Currently, my focus is learning more on Generative AI using Python.

I portray myself as a driven engineer who thrives in teamwork, learning about new stuff and in coming up with innovative solutions. I possess practical knowledge in machine learning systems, including experience in data mining, predictive modeling, and natural language processing. I am adept at working in dynamic settings and can easily adjust to shifting priorities while maintaining focus and dedication.