Skip to content
View kdevultra's full-sized avatar
🎯
Focusing
🎯
Focusing

Block or report kdevultra

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
kdevultra/README.md
Kafui Homevo



Typing SVG

Small perturbations, cascading consequences: that's the core lesson of chaos theory, and exactly why interpretability matters when we hand decisions to models we don't fully understand.

About Me

I study Mathematical Engineering at ENSGMM (Benin), focusing on the intersection of applied math, dynamical systems, and deep learning. My main interest is AI safety and mechanistic interpretability : understanding why models behave the way they do, not just confirming that they work.

I'm a researcher with an entrepreneurial background. Before fully committing to math, I spent a year building and running a marketing agency (Kreators Funnels). I know how to ship, market, and sell products, not just theorize about them.

  • Currently: Modeling dynamical systems and exploring deep learning.
  • Writing: I publish essays on AGI risk, algorithmic control, and cognitive agency on my Science Blog, and Substack.
  • Interests: Sci-fi, psychology, and the control problem.

Technical Stack

Languages:

Data & Modeling:

*Focus: Statistics, Probability, Optimization, Operations Research, Dynamical Systems.*

Design & Growth:


Research & Projects

Project Stack / Methods Focus & Summary
The Lorenz System Julia, Runge-Kutta Deep study of 4D chaotic dynamical systems and cryptographically secure PRNGs. Features 3D strange attractor visualizations and Lyapunov sensitivity analysis.
SEIRS Spatial Heterogeneity Python, JupyterLab Research report from the NSRI Summer 2026 Hackathon. Modeling SEIRS epidemic dynamics considering spatial heterogeneity and population connectivity.
Regression Cox Model R, Biostatistics Statistical study and implementation of Cox proportional hazards survival model on the 'cancer' dataset with Schoenfeld residual diagnostics.
Poisson Regression (GLM) R, GLM Comprehensive Poisson regression model on the Airquality dataset. Overdispersion testing, goodness-of-fit diagnostics, and rigorous interpretations.
SciNexus Backend Java, Spring Boot Backend architecture for the SciNexus scientific blogging platform. Modular domain modeling, data persistence, and clean RESTful API design.
Four in a Row Java, JavaFX Complete OOP desktop implementation with modular MVC architecture.

Selected Writing


GitHub Analytics

Kafui's GitHub Stats Top Languages

Languages: French (Native) · Fongbé (Native) · English (Professional)

Email · LinkedIn · Blog · Portfolio

Pinned Loading

  1. seirs-spatial-heterogeneity-research seirs-spatial-heterogeneity-research Public

    NSRI Summer Research Hackathon 2026 report, inconclusive. Here are the reports.

    Jupyter Notebook

  2. regression-cox-model regression-cox-model Public

    Etude du modèle de survie de Cox sur le dataset cancer du package survival de R

    R

  3. lorenz_system lorenz_system Public

    Analysis on the lorenz system

    Jupyter Notebook

  4. demo2-ignoreme-4InRow demo2-ignoreme-4InRow Public

    A simple 4 In a Row game implemented for desktop in JavaFx.

    HTML

  5. scinexus scinexus Public

    Backend management for the blog SciNexus with Spring Boot, as a personal practice project.

    Java