Marvellous Chitenga

I am Marvellous Chitenga a developer in Eastern Europe. Over time I have worked on backend and AI systems that move data between services, keep applications stable and make release cycles safer, faster and more reliable. Over the last couple of years my work has centered on Python, AI, ML, & DE

marvellous.system

development console

Live
systemsbackend & data pipelines
focussecure & reliable systems
deliverystable builds
goalbest user experience

Selected work

Featured Projects

Each case study will focus on the problem, the decisions, the stack, and the outcome.

Multilingual Expat Support Platform
Plock expat support app home screen
Plock expat support knowledge base screen
Plock expat support language selector
Plock expat support app home screen
Plock expat support knowledge base screen
Plock expat support language selector

Multilingual Expat Support Platform

Support platform for expats with localized content, translation caching, feedback flows, and a Gemini assistant.

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Askara AI Exam Practice Tool
Askara AI exam practice homepage
Askara AI generated exam question screen
Askara AI generated answer screen
Askara AI clarification chat screen
Askara AI exam practice homepage
Askara AI generated exam question screen
Askara AI generated answer screen
Askara AI clarification chat screen

Askara AI Exam Practice Tool

Exam prep tool that studies past papers, generates likely questions, and helps students practice with AI support.

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Sonia Document Intelligence
Sonia Conversations document intelligence homepage
Sonia Conversations upload overview section
Sonia Conversations semantic search section
Sonia Conversations document upload flow
Sonia AI document chat screen
Sonia Conversations document intelligence homepage
Sonia Conversations upload overview section
Sonia Conversations semantic search section
Sonia Conversations document upload flow
Sonia AI document chat screen

Sonia Document Intelligence

RAG assistant for uploading files, searching document chunks, and answering questions with Qdrant and OpenAI.

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Lab

Experiments that become useful software

1

AI WORKFLOWS

I build AI systems that data into useful product experiences. The focus is on retrieval, reasoning, evaluation and interfaces that make the model easier to trust.

2

PRODUCT PROTOTYPES

I move early ideas into working software quickly that can be tested before they become full products.

3

DATA SYSTEMS

I design pipelines and prediction workflows that collect, process and explain data clearly. The goal is simple: make raw signals useful for decisions, automation, and product feedback.

Tools

The stack is only useful when the workflow is sharp

Python
MongoDB
PostgreSQL
GitHub
Docker
Kubernetes
TensorFlow
PyTorch
AWS
GCP
Azure
BigQuery
Snowflake
Databricks
React
TypeScript
JavaScript
Qdrant
OpenAI
Claude

Proof

Credibility should be visible not buried in a PDF

This becomes the home for metrics, certifications, testimonials, shipped products, and career milestones.

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Public GitHub repositories

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Lines of code written across projects

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Hours of hackathon experience

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Have something worth building?

Open to roles, collaborations, hackathons, and serious product work across AI, full stack systems, and data apps.