EXEC_PROC :: 0x00002F
TARGET :: ~/home
MEM_ALLOC :: OK

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

Minionese Engine (v2)
PROJECT 01 / 03// STATUS: DONE

Minionese Engine (v2)

Custom domain-specific language syntax parser and neural translator engineered to evaluate non-standard tokenization and dynamic expression trees.

NLP / PARSER / PYTHON / DSL
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