I'm learning to build backend services, ETL pipelines, and experiment with machine learning models. Currently focused on Python, SQL.
Hi👋, I'm Joshua Johnson, a Python Developer and Machine Learning trainee. I build backend services and currently learn how to experiment with machine learning models to turn data into reliable products.
Currently I'm focused on: building scalable Python services, learning practical ML workflows and deploying models to production.
I prefer clean, testable code, reproducible experiments, and small, iterative improvements that deliver real value.
I pick up new tools and languages fast and apply them pragmatically.
I break complex problems into simple steps and ship small, testable solutions.
I follow good practices and keep work organized and well-documented.
I focus on shipping features that provide clear value and measurable outcomes.
I offer small-scope contracts and prototyping: web tools, automation scripts, and data helpers.
Server-side APIs, small microservices, data processing and automation integrations. Focus on reliable endpoints and maintainable services.
Automation scripts, data cleaning, small microservices, and CLI utilities with unit tests and simple docs.
Designing RESTful endpoints, integrating third-party APIs, and building glue code to automate workflows.
Building portfolio projects, consulting on small automation tasks, and publishing utilities on GitHub.
Delivered small web apps and scripts for clients; focused on rapid prototyping and iterative feedback.
A selection of projects that demonstrate core skills: utilities, apps and automation.
AI-assisted calculator and utilities suite. Python backend, simple HTML frontend, and helpful scripts.
A collection of Python helpers and automation tools for small tasks and experiments.
A simple Python project that uses Pandas to analyse sales performance over a given time period.
Feedback from collaborators and users of my tools.
"Joshua helped Configure our API and AI resources. As a result, hours of work were decreased into minutes."
— Freelance Client
"Great communication and engagement. The project shipped on time and worked as promised."
— Freelance Client
A collection of small Python utilities and services (unit converters, data transforms) designed to be composable into data pipelines and quick CLI tools.
Result: reusable helpers that simplify preprocessing and prototyping for data tasks.
Automation scripts and data ingestion helpers: file transforms, API ingestion, and lightweight ETL pipelines used to collect and clean datasets for analysis.
Use the form below or email trillions22@hotmail.com
If you'd like to work together or ask a question, email trillions22@hotmail.com or open an issue on my GitHub.
