RuvarasheShalomNemaramba
AI ENGINEER IN TRAINING
DEEP LEARNING · COMPUTER VISION · INTELLIGENT SYSTEMS
01 // OVERVIEW & CAPABILITIES
Overview & Stack
A quick breakdown of my academic focus, core engineering discipline, and active production toolkit.
Ruvarashe Shalom Nemaramba
Undergraduate Artificial Intelligence student at Africa University (3.86 CGPA). Focused on building practical machine learning models, custom developer tooling, and low-power embedded hardware systems.
DegreeB.Sc. Hons Artificial Intelligence
LocationMutare, Zimbabwe
InterestsML, Embedded Systems & Running
// AI & Machine Learning
TensorFlowKerasJAXNumPyPandasscikit-learnXGBoost / CatBoostComputer VisionNLP
// Software & Web
PythonTypeScriptNext.jsReactTailwind CSSVS Code Extension API
// Hardware & Embedded
C++ArduinoTinyMLSensory MicrocontrollersEmbedded Systems
// Currently Learning
PyTorchQuantum Computing (Qiskit / Cirq)
/ completed projects
PROJECT 01 / 06// STATUS: DONE
Experiment
ML experiment tracking and analytics platform for recording training runs, comparing models, and analyzing performance over time.
MACHINE LEARNING / ANALYTICS / REACT / TYPESCRIPT / SUPABASE
03 // COMMUNITY & EDUCATION
Featured Learning Path
A curated Microsoft Learn track designed for students and developers getting started with practical AI.
Microsoft Learn Track
Applied AI & Copilot Engineering: From Prompts to RAG
Master NLP fundamentals, prompt engineering with GitHub Copilot, multimodal workflows, and practical RAG architectures built on Azure AI.
Duration~6 Hours
Structure8 Modules
Access100% Free
CredentialMS Badges