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xrobinx/README.md

Robin — building intelligence from first principles with C++, Python, machine learning, and product thinking

Selected Builds  ·   Design Studies  ·   Current Signal  ·   Email  ·   LinkedIn

01 / Signal

I'm Robin, a Bachelor of Computer Science candidate turning computer-science fundamentals into software that works, models that explain themselves, and interfaces that feel intentional.

My strongest foundation is C++. I use Python to move into data science and machine learning, then bring in design thinking to make the result easier to understand and use. I am currently looking for an internship or entry-level opportunity where I can contribute, learn from experienced engineers, and keep raising the quality of what I ship.

CORE

C++ · program structure · file I/O · input validation · problem solving
EXPANDING

Python · data preparation · supervised learning · evaluation · explainability
OPEN TO

Software engineering · ML/data internships · product-minded technical teams

Robin's build path from C++ foundations through Python and machine learning to useful products

02 / Selected Builds

01 · SYSTEMS / C++

Food Ordering System

A console application that turns a menu file into a complete ordering flow: inventory-aware item selection, defensive input handling, three payment paths, calculated change, order IDs, and persistent receipts.

Engineering signal: modular program structure, parsing, mutable state, validation loops, formatted output, and file persistence.

Explore the build →

02 · INTELLIGENCE / PYTHON

Campaign Response Predictor

An applied classification study for identifying customers likely to respond to a marketing campaign. It compares four models, handles class imbalance with SMOTE, explores threshold trade-offs, and uses SHAP plus partial-dependence plots to interpret behavior.

Engineering signal: preprocessing, stratified evaluation, imbalance handling, model comparison, threshold tuning, and explainability.

Explore the analysis →

03 / Design Studies

Code is only useful when people can understand and use what it produces. These studies are where I practise hierarchy, atmosphere, and interface clarity.

LAYOUT / HIERARCHY

Web Design Exploration

A study in page composition, visual rhythm, and information hierarchy.

Open in Figma →

BRAND / ATMOSPHERE

Fiorein Website

A more expressive website concept focused on branding, tone, and product-page polish.

Open in Figma →

04 / Working Set

C++, Python, scikit-learn, Git, GitHub, VS Code, and Figma

Layer What I use it for
C++ Core programming, decomposition, state, file handling, validation, and deeper CS fundamentals
Python + scikit-learn Data preparation, model experiments, evaluation, and explainable ML workflows
Git + GitHub Versioning work, documenting decisions, and making projects reviewable
Figma Testing layout, visual hierarchy, branding, and product presentation

05 / Current Signal

NOW

Strengthening C++ projects beyond classroom-sized exercises.
NEXT

Building more reproducible ML work with stronger validation and clearer results.
ALWAYS

Learning deeply, documenting honestly, and improving the next version.

Looking for an someone who cares about both the code and the outcome?

exowokz@gmail.com  ·   LinkedIn  ·  

Designed and built by Robin · Always compiling the next version.

Pinned Loading

  1. notes-app notes-app Public

    TypeScript 1

  2. cpp-food-ordering cpp-food-ordering Public

    A simple C++ console-based food ordering system that reads menu data from a file, manages orders and stock, handles payments, and generates receipts.

    C++

  3. marketing-campaign-customer-response-predictor marketing-campaign-customer-response-predictor Public

    A supervised machine learning project that predicts customer response to marketing campaigns using historical customer data to improve targeting and conversion rates.

    Jupyter Notebook