Eddy Wamariu
Data Science, AI & Machine Learning
Analytical, creative, and open-minded
📌 Summary
Junior AI and ML expert with a strong mathematical foundation and full-stack development experience. Passionate about building intelligent systems—from predictive models to mobile apps. Open-minded, fun, yet professional: I combine creativity, rigor, and collaboration to tackle real-world challenges through ML and AI.
🎓 Education
BSc Mathematics & Computer Science
Jomo Kenyatta University of Agriculture & Technology (JKUAT)
Focused coursework: Calculus I–III, Linear Algebra, Probability & Statistics, Data Structures & Algorithms, Artificial Intelligence, Regression, Classification, Neural Networks, Model Evaluation.
đź’Ľ Experience Highlights
Freelance Full‑Stack Developer
2020 – Present
- Delivered responsive, data-driven websites using Python and JavaScript.
- Designed database schemas and REST APIs; managed frontend and backend integrations.
- Collaborated with clients to translate business needs into practical solutions.
Project Lead – Housing Management System
JKUAT Expo, 2022
- Led a team to build a cloud-backed system managing tenants, properties, and admin tasks.
- Implemented full-stack features including auth, data tracking, and reporting dashboards.
🚀 Projects
Project |
Summary |
Link |
SpaceML (NASA Frontier Dev Lab) |
Citizen‑scientist open‑source space research with ML workflows |
arXiv |
OpenFL Federated Learning Framework |
Privacy‑preserving ML across institutions using TensorFlow/PyTorch |
arXiv |
OpenAGI: LLM + Expert Plugins |
AGI‑oriented pipeline integrating LLMs with domain‑expert modules |
arXiv |
CARLA Simulator (Intel/Toyota) |
Open‑source urban driving RL environment with Unreal‑based realism |
Wikipedia |
Hugging Face Transformers |
Library for NLP tasks like chatbots, sentiment, translation, and more |
techovedas |
- Languages: Python, JavaScript/TypeScript, Kotlin, SQL, HTML/CSS
- ML & AI: Scikit‑learn, TensorFlow, PyTorch, Hugging Face, OpenFL, LLM pipelines
- Mathematics & CS: Linear Algebra, Calculus, Stats, Algorithms, Data Structures
- Frameworks & Tools: Jupyter, Git, REST APIs, Docker, Firebase, React, Tailwind
- Soft Skills: Problem-solving, Communication, Collaboration, Open-minded innovation
🎯 Currently working on:
- Predictive Maintenance using IoT sensor time-series data
- Financial Fraud Detection with anomaly detection in transaction datasets
- NLP Sentiment Analysis on social data (e.g., Twitter, Reddit)
- Recommendation Systems using collaborative filtering and matrix factorization
- Image Classification & Object Detection with CNNs and Transformers
🌟 Certifications & Training
- Data Science with Python — JKUAT
- Cisco Networking Level 1-3 — JKUAT & Cisco
- Web & Mobile Development — eMobilis Institute of Mobile Tehchnology
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts - Aurélien Géron
Projects in progress will be added here as live demos and GitHub links—watch this space! 🚀