Welcome to Curiosity Coder!
Like the famous first program every developer writes, this is my “Hello World” to the blogging universe. But instead of just printing text to a console, I’m launching a space to explore the fascinating intersections of technology, science, and human curiosity.
Why Start This Blog?
As a software engineer with a background in data science and medicine, I’ve always been drawn to the edges where different fields meet. These intersections are where the most interesting problems—and solutions—tend to emerge.
Whether it’s:
- How machine learning algorithms mirror biological neural networks
- Using data science to understand space exploration data
- The ethical implications of AI in healthcare
- Or simply documenting cool things I discover while coding
This blog will be my laboratory for exploring these ideas.
What to Expect
You can expect posts about:
Technical Content:
- AI/ML tutorials and insights
- Data engineering best practices
- Software development tips and tools
- Code reviews of interesting projects
Curiosity-Driven Exploration:
- Space technology and exploration
- Biological inspiration for algorithms
- Technology philosophy and ethics
- Random interesting discoveries
Personal Journey:
- Learning new technologies
- Career insights from a multicultural perspective
- Balancing multiple technical backgrounds
The Mars Rover Connection
The name “Curiosity Coder” isn’t just cute wordplay. NASA’s Curiosity Rover embodies everything I love about engineering: methodical exploration, pushing boundaries, and the willingness to venture into unknown territory with carefully designed tools.
Just like Curiosity analyzes Martian soil samples, I want to dig into the technical details that make our digital world work—and share what I find.
Let’s Explore Together
Whether you’re a fellow engineer, a science enthusiast, or just someone who loves learning new things, welcome aboard! The journey of discovery is always better with companions.
Ready to see what we can discover together?
Next up: I’m planning a deep dive into how biological neural networks inspired artificial ones. Stay tuned!