Registered Non-Governmental Organization (NGO)

Democratizing Intelligence
For Every Child.

Talent is equally distributed, but opportunity is not. ThinkBit Edge Inc. is dedicated to bringing cutting-edge AI literacy, STEM education, and economic research to the children of the Global South.

Rural Congo
Children learning in Africa

Bridging the Divide

Bringing tablets and connectivity to villages where electricity is a luxury.

Students studying outdoors
500+ Students Impacted

The Vision: From the Village to the Valley

In an era where Artificial Intelligence dictates the future of global economies, millions of children in Africa and underdeveloped nations remain disconnected. At ThinkBit Edge, we refuse to accept a future where the Global South is merely a consumer of technology rather than a creator.

We are building the "Neural Nodes" of the future—classrooms equipped with offline AI models, coding resources, and economic mentorship. We believe that the next Einstein or Turing may currently be sitting in a classroom in Bukavu or rural Nairobi, waiting for the tools to unlock their potential.

Leadership

Frédéric Mirindi

Frédéric Mirindi

Founder & Chairman

Derrick Mirindi

Derrick Mirindi

Founder & Director

Converging Sciences

Real-world challenges in the developing world do not exist in silos. Our research unit fuses Economics, Artificial Intelligence, Civil Engineering, and Physics to build resilient communities.

AI & Economics
Data visualization

Computational Development

We utilize Machine Learning and Satellite Imagery to map economic activity in unbanked regions. By combining this with rigorous econometric modeling, we analyze poverty dynamics and the efficacy of aid interventions with unprecedented precision.

Civil Eng & Physics
Construction site

Physics-Informed Infrastructure

Applying fundamental Physics to optimize local construction materials. Our team researches geopolymer concrete and stabilized earth blocks to create affordable, climate-resilient housing and schools in Sub-Saharan Africa.

Development
Community development

Human Capital Formation

Longitudinal studies on the impact of early STEM education on future labor market outcomes. We investigate how access to technology alters the trajectory of rural communities.

Physics & Math
Abstract Physics

Complex Systems

Modeling economic markets as complex physical systems. We use concepts from statistical mechanics and thermodynamics to better understand market volatility and supply chain shocks.

Zero to AI Architect

The ThinkBit
AI Curriculum.

A rigorous, multidisciplinary path designed to take students from mathematical foundations to deploying Large Language Models. Bridging Computer Science, Economics, and Development.

Phase I: The Mathematical Bedrock

Before coding, we build logic. Understanding the algebra behind the algorithms ensures students aren't just "black box" users.

  • Linear Algebra (Vectors, Matrices, Eigenvalues)
  • Multivariable Calculus (Gradient Descent)
  • Probability Theory & Bayesian Statistics
  • Intro to Python & Algorithmic Logic
Practical Lab
Students coding in Africa
Data Analytics

Phase II: Data Science & Econometrics

Merging computer science with economic rigor. Students learn to clean, visualize, and infer causality from complex datasets.

  • Data Manipulation (Pandas, SQL)
  • Visualization (Matplotlib, Seaborn, Tableau)
  • Econometrics (Causal Inference, Statsmodels)
  • Feature Engineering & Preprocessing

Phase III: Core Machine Learning

The engine of prediction. Mastering the classical algorithms that drive decision-making in finance, health, and policy.

  • Supervised Learning (Regression, Classification)
  • Unsupervised Learning (Clustering, PCA)
  • Model Evaluation & Validation Strategies
  • Scikit-Learn Mastery
Collaborative coding
AI Neural Network representation

Phase IV: Deep Learning & GenAI

The frontier of innovation. Building Neural Networks and leveraging LLMs for complex reasoning tasks.

  • Neural Networks (PyTorch / TensorFlow)
  • NLP & Computer Vision (Transformers)
  • Fine-Tuning LLMs & RAG Systems
  • Generative Models (Diffusion, GANs)

Phase V: Deployment & AI Ethics

Taking models from notebooks to production, while ensuring fairness, transparency, and safety in the Global South context.

  • MLOps (Docker, APIs, Cloud Deployment)
  • AI Safety & Bias Mitigation
  • Project Management for AI
  • Capstone Project Defense
Team collaboration

Ready to start the journey?

Download the full syllabus PDF or apply for the next cohort.

Research Library

Selected works in AI, Economics, Civil Engineering, and Development.

Forthcoming & 2026

Revolutionizing medical imaging and diagnostics through advanced AI and augmented reality technologies

D Mirindi, F Mirindi, A Khang — Revolutionizing Digital Healthcare Through Artificial Intelligence (2026)

Health AI

Integration of AI and AR in medical imaging: A quantitative analysis of workflow optimization and diagnostic performance

A Khang, F Mirindi, D Mirindi — Revolutionizing Digital Healthcare Through Artificial Intelligence (2026)

Health AI

Optimizing ML algorithms for real-time privacy-preserving patient monitoring in embedded systems

F Mirindi, A Khang, D Mirindi — Revolutionizing Digital Healthcare Through Artificial Intelligence (2026)

Machine Learning

2025

Artificial Intelligence (AI) and automation for driving green transportation systems: A comprehensive review

D Mirindi, A Khang, F Mirindi — Driving Green Transportation System Through AI (2025)

AI Sustainability

Ensemble machine learning algorithms for efficient prediction of compressive strength of concrete containing tyre rubber and brick powder

D Sinkhonde, T Bezabih, D Mirindi, D Mashava, F Mirindi — Cleaner Waste Systems (2025)

Civil Eng

Predicting the compressive strength of rubberized concrete incorporating brick powder based on MLP and RBF neural networks

D Sinkhonde, D Mashava, T Bezabih, D Mirindi — Waste Management Bulletin (2025)

Civil Eng

Applications of machine learning algorithms on the compressive strength of laterite blocks made with metakaolin-based geopolymer and sugarcane molasses

D Sinkhonde, D Mirindi, I Dabakuyo, T Bezabih... F Mirindi — Waste Management Bulletin (2025)

ML & Civil

Neural Networks for Predicting Market Trends in Sustainable Industries: A Review

F Mirindi, D Mirindi — Recent Advances in AI for Sustainable Development (2025)

Economics

SEF-Net: A Hybrid Deep Learning Architecture for Multi-step Forecasting in Sustainable Energy Markets

F Mirindi, D Mirindi — International Work-Conference on Artificial Neural Networks (2025)

Energy Economics

Forecasting Energy Prices Using Machine Learning Algorithms: A Comparative Analysis

F Mirindi, D Mirindi — Machine Learning Technologies on Energy Economics (2025)

Economics

Predictive Analytics and Stochastic Programming for Construction Resource Optimization in Developing African Economies

F Mirindi, D Mirindi — CBPM 2025 Conference Proceedings (2025)

Development

Advance toward Artificial Superintelligence with OpenAI's O1 reinforcement learning and ethics

D Mirindi, D Sinkhonde, F Mirindi, T Bezabith — 6th International Conference on AI & Robotics (2025)

AI Ethics

Advanced evaluation of BIM-GenAI using OpenAI o1 and ethical considerations

D Mirindi, D Sinkhonde, F Mirindi, T Bezabith — Proceedings of 2025 Computers and People Research (2025)

AI Ethics

On the surface roughness properties of fly ash-based geopolymer mortars with teff straw ash

T Bezabih, D Sinkhonde, D Mirindi — Green Technologies and Sustainability (2025)

Civil Eng

Prediction of flexural and split tensile strength of waste glass-concrete composite using machine learning algorithms

D Mirindi, D Sinkhonde... F Mirindi — Green Technologies and Sustainability (2025)

ML & Civil

Machine learning-driven analysis of nanoparticle performance on concrete mechanical properties

D Mirindi, J Hunter, D Sinkhonde, F Mirindi — Manufacturing Letters (2025)

Nano-Tech

2024

A review of the advances in artificial intelligence in transportation system development

D Mirindi — Journal of Civil, Construction and Environmental Engineering (2024)

AI & Transpo

A system dynamics modelling assessment of water-energy-food resource demand futures at the city scale: Goma, DR Congo

D Mirindi, J Sušnik, S Masia, G Jewitt — World Development Sustainability (2024)

Development

Integration of artificial intelligence and smart technologies in offsite construction: a comprehensive review

D Mirindi, TN Sanders, J Hunter — Transforming Construction with Off-site Methods (2024)

Construction AI

An advance review of Urban-AI and ethical considerations

D Mirindi, D Sinkhonde, F Mirindi — ACM SIGSPATIAL Workshop (2024)

Ethics

Structural Performance of Three-Layer Particleboards with Waste Fiber Reinforcement: A Review

D Mirindi, J Hunter... — DFI Journal (2024)

Materials

Rethinking sustainability: towards an open system approach

F Yazdandoust, D Mirindi — Proceedings of DARCH (2024)

Sustainability

2021-2023

Structural Performance of Particleboard Made From Macadamia Nutshells with Gum Arabic Composite

D Mirindi — Pan Africa University Institute (2022)

Research

Physico-mechanical properties of particleboards produced from macadamia nutshell and gum arabic

D Mirindi, RO Onchiri, J Thuo — Applied Sciences (2021)

Applied Sci

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