About me
Learning is my greatest joy.
I am a lifelong learner, constantly seeking new challenges and expanding what I know.
My academic background is computer science and mathematics and I hold a master’s degree in computer science. But graduation? That was just the starting line.
Most recently I’ve:
- Earned the AWS Solutions Architect Associate certification
- Become a Databricks Certified Data Engineer Associate
- Received the Databricks Academy Accreditation for Generative AI Fundamentals
- Participated in nationwide AI Red Teaming exercise to contribute to AI safety
My constant learning habit isn’t just about acquiring new skills – it’s about staying relevant in the ever-evolving world of technology. The landscape shifts fast, and the ability to adapt matters more than what you knew five years ago.
That’s why I’m so interested in cloud computing, big data, AI explainability and safety. These areas have real potential to protect, heal, and inform. They’re fascinating problems to dig into.
I love collaboration
My learning doesn’t exist in a vacuum. I’m a strong believer in collaboration and knowledge sharing. That’s why I’m excited to connect with other data and AI enthusiasts and learn from their experiences.
Let’s connect on LinkedIn to share insights, learn from each other, and push the boundaries of responsible AI.
My favorite personal project
“Hello Penguins” GitHub repository, a collection of machine learning experiments with the Palmer Penguins dataset. Inspired by the “Hello, World!” programming tradition, this repository is a series of small experiments to illustrate foundational machine learning concepts. Each experiment includes evaluation metrics and visuals to verify the model predictions make sense and are explainable. I love that it is a mix of software engineering, data science, and (inexpensive) cloud hosting.
My specialties
I enjoy using technology to solve problems, caring for data, and using AI coding assistants to learn as much as possible and increase my development velocity.
Now page
What I’m up to right now.