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Learning Math and Physics for Computer Science
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Learning Math and Physics for Computer Science

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eigenlambda123/README.md

RM Villa

Software and AI Enthusiast

Portfolio • Email • LinkedIn

Tech Stack

  • I mainly use Python for my projects, specifically for ML with , NumPy, Pandas, Scikit-Learn, and PyTorch.
  • For software development, I use:
    • Backend: FastAPI, SQLModel, Django
    • Databases: PostgreSQL, SQLite
    • Frontend & Mobile: JavaScript, React, Flutter
    • Deployment & Hosting: Vercel, Render

Focus and Interests

  • Interested in ML and Deep Learning for both theory and practical applications.
  • Currently grinding through Linear Algebra and Calculus to build a stronger foundation for Machine Learning.
  • I mainly build AI-powered side projects.
  • I'm also interested in Operating Systems and low-level Hardware, I try learning them whenever I have free time.

Hobby

  • I love participating in hackathons and building interesting stuff.

“The Goal is to build something that helps humanity”

Pinned Loading

  1. AIgen AIgen Public

    Ongoing project: a local AI agent that uses local models to orchestrate sandboxed tools (file/PDF handling, screenshots, OCR, etc.) and grow into a general-purpose automation toolkit.

    Python

  2. BarangayMicroJobs BarangayMicroJobs Public

    BarangayMicroJobs is a Flutter + FastAPI platform that connects barangay residents for local micro-jobs with offline sync, secure authentication, and community ratings.

    Dart 2

  3. MajorMatch MajorMatch Public

    An interactive student companion combining a pgvector semantic course search (with t-SNE/PCA projections), Ollama-powered career context and tool-calling, and an ML track recommendation model.

    Jupyter Notebook 1

  4. neophiles/KlimaTech neophiles/KlimaTech Public

    PRESKO, developed by our team KlimaTech, was our official entry to the Philippine Junior Data Science Competition (PJDSC) 2025, hosted by the UP Data Science Society. The project successfully quali…

    JavaScript 3 4