"Turning curiosity into working systems — sometimes elegant, sometimes chaotic, always learning."
I build intelligent systems, scalable APIs, and AI tools that try to survive real-world chaos.
Sometimes they succeed. Sometimes they teach me why they didn’t.
I learn.
I improve.
And I ship again.
I write code.
I break it.
I fix it better.
And occasionally pretend that was the plan all along
BE CSE Student (Graduating 2028)
Aspiring AI Engineer | Backend Developer
- Machine learning systems deployed with FastAPI
- Backend architectures built to scale without drama
- AI tools that automate real workflows
- Experimental projects where failure isn’t scary — it’s data
Some projects start as curiosity.
Some become infrastructure.
The strange ones become stories.
- Production-level AI deployment (beyond notebooks)
- Backend systems that stay reliable under pressure
- Performance optimization & clean architecture
- Building tech that actually solves problems
Simple outside. Serious engineering underneath.
- ML models trained, deployed, debugged, improved
- Backend systems with FastAPI & Django
- Neural networks built from scratch (mistakes included)
- Experimental AI automation projects
Every repo = part experiment, part lesson, part progress log.
Build things that matter.
Break them intentionally.
Understand them deeply enough to rebuild them better.
Most bugs aren’t failures.
They’re undocumented lessons.
And honestly… debugging teaches more than success ever did.
- I actually enjoy debugging (yes, weird hobby)
- I’ve trained models that predicted absolutely nothing — very confidently
- I love elegant systems but secretly enjoy chaotic experiments
- Dark theme user — obviously non-negotiable
Confidence comes from fixing enough broken things
to stop fearing them.
Languages: Python • C • Java • SQL
AI/ML: PyTorch • scikit-learn • NumPy • Pandas • Streamlit
Backend: FastAPI • Django • REST APIs
Databases: SQLite (currently), exploring larger-scale systems
Tools: Linux • Git • Bash • VS Code
(And caffeine. Lots of caffeine.)
LinkedIn: https://linkedin.com/in/rikim-rana
Email: rikimrana1@gmail.com
Discord: rikream
Exploring my repositories is encouraged.
Feedback even more so.
Still learning.
Still building.
Still curious.
Because the goal isn’t just writing code —
it’s understanding systems deeply enough
to make them reliable, useful, and maybe even elegant.
And honestly…
I just enjoy building cool stuff.