About James O. Oluwadare

I am a dedicated Mechanical Engineer specializing in UAV systems, machine learning, and geospatial intelligence. With a strong foundation in aeronautics and hands-on experience in drone design and operations, I bridge the gap between hardware and software to create innovative solutions.

James O. Oluwadare

Freelancers & Companies

Looking for a technical lead or a drone engineering specialist?

Hire Me

Researchers & Developers

Interested in collaborating on AI or UAV research projects?

Collaborate

Investors

Want to invest in the future of autonomous drone solutions?

Invest

Education

Federal University of Technology, Akure November, 2015 - November, 2021

BSc. Mechanical Engineering 4.33/5.0

  • Capstone project: Design and fabrication of a fixed-wing surveillance UAV
  • Relevant courseworks: Aerodynamics, Thermodynamics, Robotics, Control Systems, CAD

Certifications

African Drone and Data Academy, Malawi

Certificate of Drone and Data (Level 2)

Work Experience

Aerohub UAV Solutions, Nigeria February, 2025 - Present Technical Lead and Co-founder
  • Lead the development of AeroOps, an AI-driven aerial operations management platform integrating ML for flight risk scoring, predictive maintenance, and data analysis.
  • Architect and oversee implementation of ML features, including flight data analysis and flight risk scoring.
  • Coordinate cross-functional engineering teams, defining system architecture, ML integration and deployment workflows.
  • Contributed to the development of innovative UAV solutions, including fixed-wing and multirotor drones for various client applications.
Nigeria Flying Labs, Akure March 2024 - February 2026 Drone Pilot and GIS Technician
  • Lead pilot for commercial drone mapping and aerial data collection missions
  • Process and analyse geospatial data using GIS software
  • Train students and interns on UAV operation and data processing
  • Developed geospatial classification models combining drone imagery, satellite data and terrain metrics for environmental risk modelling to support decision-making.
SA Environmental Research August 2025 - November 2025 Freelance Geospatial Analyst
  • Developed regression models to estimate Above-Ground Biomass Density (AGBD) using multispectral imagery and terrain-derived features.
  • Designed geospatial ML pipelines integrating feature engineering, remote sensing pre-processing, and predictive modelling workflows.
  • Retrieved and processed satellite datasets to estimate carbon stocks and monitor emissions using CO₂ and thermal signatures as proxy indicators.
Independent Contractor 2024 - Present Freelance ML & Software Engineer
  • Developed and deployed a computer vision pipeline for pothole detection by fine-tuning, comparing, and benchmarking multiple YOLO models.
  • Built a full-stack AI counsellor web application for K-12 students, utilizing React for the frontend and FastAPI for the backend.
  • Integrated pre-orchestrated Large Language Models (LLMs) into the FastAPI backend to power the AI counsellor's core conversational features.
Spec-AI September 2025 - Present Machine Learning Engineer
  • Designed and deployed a multi-stage computer vision ML pipeline for counterfeit liquor detection, from data acquisition, pre-processing, model training and evaluation, to production inference via API.
  • Collected and curated labelled image datasets and developed modular pre-processing pipelines including image normalisation, augmentation, and feature extraction.
  • Trained and benchmarked multiple deep learning architectures for label detection, text extraction (OCR), feature analysis, and authenticity classification.
  • Maintain continuous improvement workflow, including dataset expansion, retraining, and performance optimisation.
Factware Analytics, Nigeria February, 2019 - December, 2024 Machine Learning Developer
  • Developed predictive models for business intelligence and analytics
  • Developed and evaluated multiple ML architectures for stock price prediction, including hybrid CNN-LSTM and GRU timeseries architectures.
  • Delivered production-ready ML pipelines and technical documentation for further research and integration.
Aircraft Maintenance Depot, Nigerian Air Force June 2019 - December, 2019 Aircraft Maintenance Engineering Intern
  • Assisted in routine and scheduled maintenance of military aircraft
  • Learned hands-on troubleshooting and repair of avionics and mechanical systems
  • Documented maintenance procedures and ensured compliance with safety standards
  • Participated in technical workshops and training sessions