I understand things more deeply when I build them, test them, and see how they actually work.
That's why I enjoy building software.
Most of what I've learned hasn't come from finishing courses, it has come from debugging errors, reading documentation, contributing to open source, and slowly turning ideas into working projects.
Right now, I'm especially interested in AI-powered applications and backend systems. I like exploring different technologies, not just learning them for the sake of it, but understanding how and when to use them.
- 🤝 Contributing to Open Source
- 🤖 Building AI-powered applications
- 🌐 Learning Backend Development
- 📊 Working with real-world datasets
- 🧠 Improving my DSA and problem-solving skills
- 💡 Turning ideas into projects instead of leaving them in my notes
We started this project wanting to build an AI-powered investment advisor.
Somewhere along the way, I became more interested in why the model made a recommendation than the recommendation itself.
That curiosity led me to explore Explainable AI and the importance of building systems people can actually trust.
Working with messy datasets taught me that data is rarely clean.
Cleaning data, finding patterns, and explaining insights became just as valuable as creating visualizations.
Open source completely changed how I learn.
Reading someone else's code, understanding review comments, revising pull requests, and improving ideas has taught me more than writing features alone.
It's where I've learned that software development is just as much about communication and collaboration as it is about code.
- Built my first Python projects
- Explored Machine Learning and Data Analysis
- Started building projects beyond tutorials
- Started building in hackathons, improving how I approach real-world problems through hands-on development
- Selected as a GirlScript Summer of Code Contributor
- Joined the Excelerate Data Analytics Internship
Git • GitHub • VS Code • Firebase • Vercel
- Build stronger backend systems
- Become a better problem solver
- Contribute consistently to meaningful open-source projects
- Keep building software that people actually use
- Explainable AI
- Backend Systems
- Computer Vision
- Software Architecture
- Developer Tools
- Building products that solve everyday problems
" I don’t aim to know everything. I just try to not get stuck twice on the same problem "
If something here feels unfinished, it probably is-I’m still working on it.