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Working on Project10X-FastAPI, LinearAlgebra, and Statistics
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Working on Project10X-FastAPI, LinearAlgebra, and Statistics
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Achievement: QuickdrawAchievement: Pull Shark

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Achievement: QuickdrawAchievement: Pull Shark

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eigenlambda123/README.md

RM Villa

Backend Developer · Project-Based Learner · Systems & Math Focused

I build backend systems from the ground up and teach myself math through high-impact, real-world projects—no fluff, no shortcuts.

Tech Stack

  • Languages & Backend: Python, FastAPI, SQLModel, Django, DRF
  • Auth & APIs: OAuth2, JWT, httpx, BackgroundTasks
  • Databases: PostgreSQL, SQLite, MySQL
  • Data & ML: Pandas, Scikit‑learn, Matplotlib, TensorFlow (intro)
  • DevOps & Tools: Git, Docker, Linux
  • Testing: APIClient, unittest/pytest, end-to-end coverage

Learning Framework: Project10X

A self-designed, milestone-driven learning system:

  • 10 projects per domain, each with a unique technical goal
  • Emphasis on depth over breadth—understanding systems, edge cases, and clean design
  • Math areas (stats, linear algebra, calculus) tied to backend tasks like ML and API modeling

Professional Goals

Actively pursuing:

  • Backend dev internships (remote or PH-based)
  • Technical prototyping roles in early-stage ventures
  • Collaborations on hackathons, data-driven MVPs, or open-source efforts

Gmail: rmvilla987@gmail.com • LinkedIn: linkedin.com/in/rmvilla

“I solve real problems so I can one day build something that matters.”

Pinned Loading

  1. Project10X-FastAPI Project10X-FastAPI Public

    A hands-on project series for mastering FastAPI — build real-world async APIs with authentication, external integrations, background tasks, and production-ready patterns.

    Python 6

  2. Project10X-LinearAlgebra Project10X-LinearAlgebra Public

    Learning Linear Algebra Through 10 Hands-on projects inspired by Strang’s book covering vectors, matrices, transformations, eigenvalues, and more.

    Jupyter Notebook 6

  3. Project10X-Statistics Project10X-Statistics Public

    Learning Statistics through 10 hands-on projects covering core concepts with practical simulations and visualizations.

    Jupyter Notebook 6

  4. Project10X-ML-Models Project10X-ML-Models Public

    A hands-on project series for mastering Linear Models — from Normal Equation to Logistic Regression, with real-world data, pipelines, and production-ready insights. Based on Chapter 4 of Hands-On M…

  5. Project10X-Calculus Project10X-Calculus Public

    Learning Calculus through 10 hands-on projects with visual, interactive ML applications.

    5

  6. hands-on-ml-classification hands-on-ml-classification Public

    A deep dive into classification using Scikit-Learn and the MNIST dataset—covering binary, multiclass, multilabel, and multioutput classification, with precision-recall tradeoffs, ROC curves, and er…

    Roff 2