Tolu Babs
@tolubabs
AI developer and data scientist building efficient, scalable software solutions with practical ML.
What I'm looking for
I’m an AI developer and data scientist with over 4 years of practical software engineering, building 10+ successful projects for companies across different sectors. I’m project-oriented and motivated by creating smart programs and verification processes that improve efficiency and sustainability through real-world AI frameworks.
In my current AI Developer role at Solverdeck, I develop and manage custom software and AI applications end-to-end—handling dataset preparation, model training, validation, deployment, and AI integrations with a focus on performance, scalability, and reproducibility. Earlier, I led evidence review work at the Department for Work and Pensions by processing 200+ cases monthly and improving decision workflows with process improvement algorithms, while also automating reporting to save 20 minutes of managers’ briefing prep time daily.
I’ve also delivered strong ML outcomes as a Data Scientist (89% accuracy for flood risk assessment using machine learning and time-series forecasting), and I’ve built production-minded systems like an AI API Gateway in Node.js/TypeScript with authentication and rate limiting (50+ concurrent requests and 90.9% uptime in simulation) and a full-stack SportBot LLM chatbot using Streamlit and OpenAI to demonstrate RAG principles. I bring leadership, experimentation, and reproducible validation to every solution.
Experience
Work history, roles, and key accomplishments
AI Developer
Solverdeck
Apr 2025 - Present (1 year)
Developing and managing custom software and AI applications for local businesses and artisans. Led the end-to-end lifecycle of ML projects and deployed AI integrations focused on performance, scalability, and reproducibility.
Led evidence review of claimant data initiatives, processing 200+ cases monthly to support public service decisions. Built automated reporting to save 20 minutes daily and improved credit review efficiency by 15% through process improvement algorithms.
Applied time-series forecasting and machine learning to analyse environmental data for flood risk assessment. Developed and validated predictive models achieving 89% accuracy and ran experiments and benchmarking to improve performance with reproducible results.
Technical Product Developer
Olamax Associate
Jun 2020 - Dec 2024 (4 years 6 months)
Designed and deployed 50+ software automations and intelligent workflows by translating business needs into data solutions. Prototyped AI solutions and designed experiments to validate hypotheses, improving platform usability and customer experience.
Maintenance Analyst
ExecuJet Aviation Nigeria
Oct 2019 - Jul 2020 (9 months)
Developed post-flight inspection automation to reduce manual processing time by 8%. Implemented data-driven quality control and created predictive maintenance algorithms, improving hardware reusability by 15% and documentation accuracy by 25%.
Education
Degrees, certifications, and relevant coursework
University of Hull
Master of Science, Data Science and Artificial Intelligence
2024 -
MSc in Data Science and Artificial Intelligence at the University of Hull (January 2024).
Kwara State University
Bachelor of Engineering, Aeronautical and Astronautical Engineering
2019 -
BEng in Aeronautical and Astronautical Engineering at Kwara State University (June 2019).
Availability
Location
Authorized to work in
Job categories
Skills
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