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alienstocharvi/README.md

👾 Hey there, I'm Charvi.

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.

Current Tech Stack:

Actively Using:

Python • NumPy • Pandas • Scikit-learn • HTML • CSS • JavaScript (Basic Front-End)

Learning Next:

Flask • TensorFlow • Backend System Design

Current Focus:

  • 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

Looking for Help With:

  • 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)

Featured Repositories:

  • Brew-Your-Mood: A rule-based decision tool that converts user's mood inputs into coffee recommendations. Built to practice conditional logic, input handling, and translating subjective choices into structured decisions. Focus areas: decision logic, clean control flow, and user-facing simplicity.
  • ml-under-the-hood: A learning-first repository that breaks down machine learning fundamentals by focusing on intuition, mathematics, and minimal implementations. Built to understand how models actually work rather than relying on black-box libraries. Focus areas: first-principles reasoning, from-scratch implementations, and conceptual clarity.
  • python-for-ml-notes: A learning-first repository focused on Python concepts that are foundational for machine learning. Emphasizes understanding how the language behaves in ML-style code rather than using models or frameworks. Focus areas: core Python semantics, data handling patterns, execution flow, and reasoning-first examples.

Connect with Me:

https://linkedin.com/charvijha • [www.instagram.com/neon_incense/] • [charvi.ace@gmail.com]

💻 Tech Stack:

Python JavaScript Java HTML5 C React MySQL Matplotlib NumPy Pandas scikit-learn GitHub Notion

📊 GitHub Stats:



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