Abiola Onasanya
Software Engineer building backend systems and machine learning applications.
MSc Artificial Intelligence, Sheffield Hallam University. Based in the UK.
Formerly Software Engineer at Validators Innovation.
Selected work
FIG-Loneliness
2026AI Research and Development Project · Team project
A team research project on automated loneliness self-disclosure detection in Reddit posts, where I built the deployed FastAPI backend, the inference engine, and the eight-page interactive dashboard that made the ML pipeline usable.
Pediatric Pneumonia Classification
2026MSc Dissertation
MSc dissertation measuring whether lightweight pediatric pneumonia classifiers transfer asymmetrically between Chinese and Nigerian chest X-ray cohorts, with a reproducible confidence-reliability evaluation framework.
ZSPMS
2025Advanced Robotics and Artificial Intelligence
A Webots-based autonomous package-sorting system using a UR10e arm, custom-trained YOLOv8 detection, OCR and CLIP verification, and a joint-sensor-driven finite state machine.
StoryReasoning
2025Deep Neural Networks and Learning Systems
A modular, lightweight toy implementation inspired by the StoryReasoning paper, exploring grounded visual storytelling with chain-of-thought grounding tables at small scale.
Experience
Work
Aug 2022 – Aug 2025
Software Engineer · Validators Innovation, Lagos, Nigeria
Designed and implemented backend software systems and RESTful APIs using Python, Django and Django REST Framework within a logistics technology environment.
Dec 2021 – Aug 2022
Junior Software Engineer · Fastrade Logistics Limited, Lagos, Nigeria
Contributed to software development activities across backend and application functionality.
Education
2025 – 2026
MSc Artificial Intelligence · Sheffield Hallam University, United Kingdom
Dissertation on the statistical evaluation of cross-population generalisation and calibration in chest X-ray classifiers.
2019 – 2022
BSc Computer Science · ESAE University, Benin Republic
Taught primarily in English, with selected modules delivered in French.