Mohannad Elhamod

**Why can I help you? **
I had been a software engineer at Microsoft for 6+ years, a research intern at NASA, and currently am a PhD candidate in Computer Science at Virginia Tech.
My field of research is applying Machine Learning in different scientific applications, including physics and biology.
My expertise includes, but is not limited to, AI/ML, Computer Vision, Deep Learning, Generative Networks, and interpretability and visualization.

**Why are YOU here? **
In recent years, I have met plenty of people from various backgrounds and disciplines that are overwhelmed by the sudden surge of AI, machine learning, and data science. With a mix of feeling curious and anxious, this new technology is the unknown that makes them wonder whether it is the next revolution or just a hype that will fade in a few years. It is my belief that I can help these people overcome their fears, embrace this new technology without inflating its powers, and master a skill that increases their competitive market value.

** What do I offer?**
Working with you, I can offer my academic and industry expertise to help bring the value of ML into your career, guide your career growth, advise you on your research, or work with you on your ML project. Working together, I offer to set you on the path of becoming an outstanding ML practitioner.
My philosophy is to work first and foremost build a deep understanding when it comes to the foundations of ML and data science and to introduce advanced topics based on that solid base. Also, I am a believer in learning through practice; this could involve demos, homework, and toy projects.