MSc Artificial Intelligence (First Class Honours)
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? β‘οΈ Visit my portfolio: https://minervarose.github.io/
Currently open to selected collaborations, consulting, mentoring, and applied AI education opportunities.
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.
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.
Curiosity
β
Learning β AI Systems β Research
β
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.
Agentic workflows, decision-support systems, orchestration pipelines, LLM applications, explainable AI, and human-in-the-loop architectures.
Scientific exploration, anomaly analysis, computational experimentation, and research-oriented prototype development.
AI and data science mentoring, educational technologies, curriculum design, technical writing, and project-based learning.
Data storytelling, dashboards, KPI design, exploratory analysis, business intelligence, and decision-support visualization.
| Project | Focus |
|---|---|
| Explainable airline passenger rights assistant | |
| π BeLedgerReady | Explainable financial anomaly analysis and audit readiness |
| π industry-integrated-ai-systems-synthesis | Integrated AI decision-support architecture for aerospace safety |
| π¦ bioacoustic-topology | Computational research on birdsong manifold dynamics |
| π§ latent-physiological-topology | Exploratory physiological signal analysis |
| π€ design-of-agentic-workflows | Governed multi-agent workflow architectures |
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.
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
This project demonstrates the complete workflow behind analytical dashboard development:
- data preparation
- KPI design
- exploratory visualization
- dashboard storytelling
- executive decision support
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.
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.
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
π 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
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.
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