About Me

Machine Learning & Data Engineer

Hi I’m Victor, a Machine Learning and Data Engineer who loves turning messy data into meaningful systems.I started out building simple backend tools, but curiosity pulled me deeper into how data flows, scales, and becomes intelligence.That curiosity has now grown into a clear mission: designing intelligent, reliable systems that make information useful for people and organizations. I work across the stack from data pipelines and APIs to model training and cloud deployment.

My toolkit includes Python,Airflow,Databricks ,FastAPI, SQL, Docker, Terraform, and AWS,but its still expanding as there is need to bridge the gap on certain problems and stay updated with current industry standard and I’m comfortable bridging data, ML, and infrastructure. What excites me most is building systems that connect systems that move data, learn from it, and power real decisions.

Right now, I am currently attending my MSc in Computer Vision, Machine Learning & Robotics at the University of Surrey (2025).I’m focused on projects that blend data engineering, cloud design, and applied AI, and I’m open to collaborations, internships, or freelance roles that challenge me to ship production-ready solutions.

Outside work, I enjoy exploring how technology can simplify everyday life from smarter local tools to data-driven community systems. I believe innovation starts with observation, and I bring that mindset to every problem I solve.

If you’re building something data-driven or AI-powered, I’d love to contribute.

Tech Stack

Github

An iPad displaying data visualization content next to a book titled 'Data Science for Business.' The iPad is showing notes and a diagram about dashboard design, accompanied by a stylus placed between the iPad and the book.
An iPad displaying data visualization content next to a book titled 'Data Science for Business.' The iPad is showing notes and a diagram about dashboard design, accompanied by a stylus placed between the iPad and the book.
A computer screen displaying a data analytics dashboard with graphs and charts. A blue line graph shows fluctuations in data over time, and a section highlights the number of page views. A pie chart is partially visible, indicating a breakdown of different data elements.
A computer screen displaying a data analytics dashboard with graphs and charts. A blue line graph shows fluctuations in data over time, and a section highlights the number of page views. A pie chart is partially visible, indicating a breakdown of different data elements.
Cloud Services Expertise

Specializing in cloud architecture and deployment for scalable machine learning and data engineering projects.

Machine Learning Insights

Providing state-of-the-art machine learning techniques to transform data into actionable intelligence and strategies.

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TESTIMONIAL

”Victor consistently delivered high-quality backend logic that made my frontend tasks easier. He was always responsive to UI-related requirements and worked well across disciplines”

- Micheal

”Victor brought strong data engineering and machine learning insight to the project. He was a reliable collaborator who always ensured the backend and data pipelines were smooth and well-integrated.”

- Jonathan

Let's Collaborate

I’m open to freelance, research, and data project opportunities.

Reach out to discuss your project, idea, or collaboration.

Email me @

sayhello@koladejohnson.com

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