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About & background

Panashe Bobojani

I build software systems around real operational problems.

  • Application development
  • Workflow Automation
  • AI / ML

Perspective

From problem to working system.

My work sits between application development, systems thinking, and AI/ML — from workflow-heavy business applications to document intelligence and predictive systems.

I completed a BSc Honours in Artificial Intelligence & Machine Learning at the University of Zimbabwe. I focus on software systems that solve concrete operational bottlenecks rather than standalone models or generic frontend interfaces.

Technical profile

Capabilities

Explore my experience

APPLICATION

  • Python
  • React
  • FastAPI
  • Firebase
  • JavaScript/TypeScript
  • HTML/CSS

AI / ML

  • TensorFlow
  • PyTorch
  • scikit-learn
  • XGBoost
  • Deep Learning
  • NLP
  • Computer Vision

DATA & ANALYTICS

  • Pandas
  • SQL
  • Data Mining
  • Data Cleaning & Analysis
  • OCR
  • Recommender Systems

TOOLS & PLATFORMS

  • Firestore
  • Git
  • Unity

Working approach

Principles that shape the work.

See them in practice
  1. Systems Over Standalone Models

    An AI/ML component is valuable only when integrated cleanly into a robust application architecture and a real operational workflow.

  2. Intentional Technology Choices

    Every language, database, framework, or model choice must justify its existence based on project constraints, cost, and operational needs.

  3. Clear Technical Communication

    Interfaces and technical documentation should make complex systems understandable to both technical and non-technical stakeholders.

  4. Honest Engineering Statements

    Technical depth includes being explicit about system boundaries, trade-offs, known limitations, and current project status.