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MinervaRose/README.md

🌌 MinervaRose

πŸ‡«πŸ‡· Version franΓ§aise

AI Systems β€’ Computational Research β€’ Analytics & Visualization β€’ Technical Education

MSc Artificial Intelligence (First Class Honours)

Python Jupyter Education AI Systems

Builder of AI systems, educational technologies, and exploratory computational tools.

Driven by curiosity, I enjoy creating systems that help people learn, explore, visualize, and understand complex ideas.

Looking for a concise presentation? ➑️ Visit my portfolio: https://minervarose.github.io/

Currently open to selected collaborations, consulting, mentoring, and applied AI education opportunities.


My Journey into AI

My journey into artificial intelligence did not begin in an engineering school or a traditional computer science programme.

On November 6, 2017, I received a life-changing email: I had been selected for the Google Developer Scholarship Challenge hosted through Udacity.

At the time, I had no professional background in software development. What began as curiosity soon became a passion for building technology and solving problems through code.

That first opportunity led to a succession of competitive scholarship programmes, including initiatives supported by Google and Facebook, followed by nanodegrees in Android development, deep learning, reinforcement learning, data science, computer vision, and generative AI.

Years later, that unconventional learning journey culminated in an MSc in Artificial Intelligence (First Class Honours).

It also shaped the way I approach technology today: with curiosity, interdisciplinary thinking, continuous learning, and the conviction that AI should help people understand complex situations rather than obscure them.


About

Today my work sits at the intersection of:

  • AI systems
  • applied computational research
  • education
  • visualization and exploratory analysis
  • human-centered technology

I enjoy designing systems that combine technical implementation, clear communication, and thoughtful user experience.

Many of my projects take the form of explainable AI applications, educational platforms, scientific prototypes, interactive visualizations, modular software architectures, and decision-support systems designed to keep humans in control.


Systems Perspective

           Curiosity
                ↓
Learning ↔ AI Systems ↔ Research
                ↓
     Visualization & Understanding

Curiosity has always been the starting point of my work.

Whether the domain is education, aviation, finance, healthcare, or scientific research, I enjoy exploring unfamiliar problems, connecting disciplines, and building systems that transform complexity into understanding.


Current Areas of Practice

AI Systems

Agentic workflows, decision-support systems, orchestration pipelines, LLM applications, explainable AI, and human-in-the-loop architectures.

Computational Research

Scientific exploration, anomaly analysis, computational experimentation, and research-oriented prototype development.

Technical Education

AI and data science mentoring, educational technologies, curriculum design, technical writing, and project-based learning.

Analytics & Visualization

Data storytelling, dashboards, KPI design, exploratory analysis, business intelligence, and decision-support visualization.


Selected Projects

Project Focus
✈️ Airline Said No Explainable airline passenger rights assistant
πŸ“Š BeLedgerReady Explainable financial anomaly analysis and audit readiness
πŸš€ industry-integrated-ai-systems-synthesis Integrated AI decision-support architecture for aerospace safety
🐦 bioacoustic-topology Computational research on birdsong manifold dynamics
🧠 latent-physiological-topology Exploratory physiological signal analysis
πŸ€– design-of-agentic-workflows Governed multi-agent workflow architectures

Design Philosophy

Across domains, I enjoy building systems that are:

  • explainable rather than opaque
  • evidence-based rather than speculative
  • human-centered rather than fully autonomous
  • modular and reproducible
  • educational by design
  • technically rigorous while remaining accessible

Although technologies evolve rapidly, these principles remain remarkably stable.


Analytics & Visualization

In addition to AI systems and computational research, I develop dashboards and visualization systems designed to support exploration, prioritization, communication, and decision-making.

Recent work includes technology watch dashboards, exploratory scientific visualizations, and business-oriented analytics built with Tableau and related platforms.

Interactive Dashboard

https://public.tableau.com/views/veille_ia_strategique/Tableaudebord1?:language=fr-FR&publish=yes&:display_count=n&:origin=viz_share_link

This project demonstrates the complete workflow behind analytical dashboard development:

  • data preparation
  • KPI design
  • exploratory visualization
  • dashboard storytelling
  • executive decision support

Teaching & Mentoring

Alongside technical development, I mentor learners in AI, data science, and software engineering.

As an OpenClassrooms mentor, I help students build portfolio projects, develop technical confidence, and communicate their work effectively.

My teaching philosophy emphasizes systems thinking, curiosity, practical experimentation, and long-term learning.


Research & Publications

Ongoing work is progressively documented through:

  • GitHub repositories
  • technical reports
  • Zenodo publications
  • educational articles
  • computational notebooks

Current interests include explainable AI, anomaly detection, scientific computing, bioacoustics, decision-support systems, and interdisciplinary AI research.


Autonomous Systems Portfolio

One of the most formative stages of my AI journey was completing the Self-Driving Car Engineer Nanodegree.

The recovered portfolio explores the complete autonomous driving stack, including:

  • computer vision
  • deep learning
  • sensor fusion
  • localization
  • path planning
  • vehicle control

πŸš— Portfolio Hub

https://github.com/MinervaRose/Self-Driving-Car-Engineer-Nanodegree-Projects

Representative projects include:

  • Advanced Lane Finding
  • Traffic Sign Classification
  • Behavioral Cloning
  • Extended Kalman Filter
  • Vehicle Localization
  • Highway Path Planning
  • PID Vehicle Control

Milestones & Foundations

My current work builds upon several years of independent learning through competitive scholarship programmes and applied AI development.

Milestone Year
Google Developer Scholarship Challenge 2017
Android Basics Nanodegree 2018
Facebook AI & PyTorch Scholarship 2018
Deep Learning Nanodegree 2019
Facebook AI Deep Reinforcement Learning Scholarship 2019
Deep Reinforcement Learning Nanodegree 2019
Many more certificates ...
MSc Artificial Intelligence (First Class Honours) 2026

Those programmes marked my transition from curiosity-driven learner to AI practitioner, educator, and builder.


Methods & Tooling

Languages & Development
Python β€’ SQL β€’ Jupyter β€’ Git β€’ GitHub

AI & Machine Learning
LLM Systems β€’ Deep Learning β€’ Computer Vision
Agentic Workflows β€’ Human-in-the-Loop AI

Data & Analytics
Tableau β€’ Power BI β€’ Exploratory Analysis
Decision Support β€’ KPI Design

Research & Exploration
Scientific Computing β€’ Signal Analysis
Anomaly Detection β€’ Computational Research

Education & Communication
Mentoring β€’ Technical Writing
Educational Technology β€’ Curriculum Design

✦ Curiositas ad Lucem ✦

Pinned Loading

  1. industry-integrated-ai-systems-synthesis industry-integrated-ai-systems-synthesis Public

    Integrated AI decision-support architecture for anomaly triage in safety-critical aerospace environments.

    Jupyter Notebook

  2. leadflow-ai leadflow-ai Public

    AI lead qualification pipeline with LLMs, scoring, safety layer, and automated activation workflows.

    Jupyter Notebook

  3. opsflow.ai opsflow.ai Public

    AI-powered client operations router for sales, support, billing and incident workflows with SLA assignment, safety controls and human-in-the-loop review.

    Jupyter Notebook

  4. design-of-agentic-workflows design-of-agentic-workflows Public

    Jupyter Notebook

  5. latent-physiological-topology latent-physiological-topology Public

    Exploratory computational framework for modeling cardiac acoustic signals as latent physiological topology using manifold learning, trajectory dynamics, anomaly detection, and cyclic state-space an…

    Jupyter Notebook 1

  6. bioacoustic-topology bioacoustic-topology Public

    Computational bioacoustic topology framework for modeling birdsong as a latent dynamical system using manifold embeddings, motif grammars, toroidal geometry, and orbital flow dynamics.

    Jupyter Notebook