Machines learn, I teach them.
I am a Computer Science Engineering student working toward AI and ML systems development. My current focus is strengthening Python and data structures while building small, decision-oriented ML projects that emphasize clarity, correctness, and reproducibility. I am particularly interested in why models fail and how design and logic choices affect real outcomes.
Python • NumPy • Pandas • Scikit-learn
• HTML • CSS • JavaScript (Basic Front-End)
Flask • TensorFlow • Backend System Design
- Strengthening core CS fundamentals with emphasis on data structures and problem-solving
- Building and refining small ML systems
- Open-sourcing narrowly scoped, well-documented tools
- Choosing model complexity, features, and validation strategies for small ML projects without overfitting
- Planning backend structure for ML tools before implementation (data flow, model integration, and future extensibility)
https://linkedin.com/charvijha • [charvi.ace@gmail.com]