Shaun Mongameli Sibanda

Profile

Shaun Mongameli Sibanda

I am a Computer Science student at Ashesi University (Class of 2028) with a passion for backend engineering, machine learning, and computer vision. I love building scalable systems and intelligent tools that solve real-world problems—from architecting real-time fraud detection microservices to training deep learning classifiers on cultural symbols. Open to software engineering and data/AI internship opportunities.

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Python Java SQL JavaScript HTML/CSS R FastAPI PyTorch Scikit-learn NumPy Pandas PostgreSQL MariaDB Git/GitHub


Professional Experience

Software Engineering Intern

InnBucks Microbank

Mar 2026 - Apr 2026 | Harare, Zimbabwe
  • Engineered API Call History and Webhooks interfaces for the developer portal using React, improving integration visibility and troubleshooting for third-party clients.
  • Designed and built a fraud detection microservice using FastAPI, PostgreSQL, and SQLAlchemy, applying device fingerprinting and composite risk scoring to identify suspicious account activity.

Faculty Intern

Emzini weCode

Jun 2025 - Aug 2025 | Remote
  • Collaborated with instructors to develop 12 detailed Computer Programming lesson plans for over 300 students across Africa.
  • Mentored beginner programmers through debugging sessions and project-based learning activities.

Faculty Intern

USAP Community School

Aug 2024 - Dec 2024 | Marondera, Zimbabwe
  • Taught Cambridge A-Level Physics and served as Resident Advisor for boys.
  • Oversaw IT operations, troubleshot technical issues, and maintained system efficiency across the school.

Intern

NUST American Space

Feb 2024 - July 2024 | Bulawayo, Zimbabwe
  • Managed event logistics and engaged with guests at the American Space, acting as the primary point of contact in the patron’s absence.

Projects

Adinkra Symbol Deep Learning Classifier

Built and trained a CNN using PyTorch and Torchvision across 96 Adinkra symbol classes, achieving 81% validation accuracy and 76% test accuracy.

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Temvas School Learning System

Designed a 3NF-normalized relational database modeling students, courses, enrollments, and grades with indexed tables, stored procedures, and triggers for RBAC.

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Fuzzy Traffic Light System

Led a team of four to develop a Python-based fuzzy logic traffic system that optimizes intersection flow based on real-time density and wait time.

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Ashesi Meal Plan Analysis

A web app that analyzes and visualizes Ashesi University’s meal plan data.

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Life Cycle Assessment (LCA) Tool

A Java tool that evaluates environmental impacts across a product’s lifecycle using material, energy, and emission parameters.

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