I am Marcel Ambo Ndowah, a passionate Machine Learning & AI Engineer with a strong foundation in Mathematics. I hold a Bachelor’s degree in Mathematics, where I specialized in various advanced topics such as Abstract and Linear Algebra, Calculus, Probability, Statistics, Complex Analysis, Group Theory, Set Theory, Topology, Differential Equations, and Affine Geometry.
My journey into programming and technology began with my love for problem-solving. While studying mathematics, I enrolled in elective courses from the Computer Science department, including Data Structures and Algorithms in C programming, Algorithm Analysis and Design, and courses in Python and C programming. These electives opened my eyes to the world of software development, and I quickly became passionate about it.
After graduation, I started self-learning from a variety of online resources, including W3Schools, GeeksforGeeks, Python-Engineer, and Kaggle. I later enrolled in the 100 Days of Code challenge on Udemy to deepen my programming skills. This learning journey led me to the AWS Scholarship Program, which introduced me to Machine Learning (ML) and Artificial Intelligence (AI). It was here that I found my true calling, and my passion for these fields grew rapidly.
I began my professional career as a Support Engineer for a SolarWinds project. This was my first exposure to the tech industry, and I gained valuable experience in problem-solving and client communication while working as a subcontractor for 1 year and 2 months.
As my passion for Machine Learning and AI grew, I decided to pivot my career toward these fields. I resigned from my role to pursue further education, earning IBM Professional Certificates in Machine Learning and Generative AI through Coursera. Additionally, I completed the Kaggle/Google 5-Day GenAI Intensive Training Program, where I gained hands-on experience with cutting-edge AI technologies.
I also had the privilege of contributing to an open-source project as part of the Outreachy program, working with the OCaml API Diff algorithm. During my time on this project, I significantly improved the API by adding detection for class additions and deletions, implementing CRAM, and developing unit tests for end-to-end testing. My contributions were merged into the project and are currently in production.
Currently, I am actively seeking opportunities in Machine Learning and AI Engineering. I am also exploring the development of Google Agent Development Kits (ADK) and working with JAX for potential open-source contributions. I regularly read research articles from arXiv to stay up-to-date with the latest trends in AI and continue experimenting with ML algorithms to deepen my understanding.
In addition to my technical expertise, I have developed strong leadership and mentorship skills. I served as the President of the Mathematics Student Association at my university, where I organized tutorials for junior students, helping them navigate challenging courses in mathematics.
Simultaneously, I was the Academic Officer for the Faculty of Science Students Association, where I worked to bridge the gap between the administration and students, ensuring that academic concerns were addressed efficiently.
Through these roles, I learned the importance of teamwork, communication, and mentoring the next generation of passionate students in STEM fields. These experiences have helped me grow both as a leader and as a team player.
I am particularly interested in working in a space that allows me to develop and experiment with ML models, research novel algorithms, and contribute to advancing AI technology. My goal is to create innovative solutions that meet the evolving needs of companies while leveraging my strong mathematical background.
I am actively pursuing open-source contributions, exploring opportunities in AI research, and continually seeking to improve my skills and knowledge in this fast-paced, ever-evolving field.
If you’re looking for a passionate and driven ML/AI Engineer who is eager to learn, grow, and contribute to your projects, feel free to reach out to me via: