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Mohamed Hasabo

Mohamed Hasabo

AI-ML Engineer

Talent
SydneyMember since September 25, 2026
TensorFlowPandasSQLPythonMachine LearningComputer VisionDeep LearningFeature EngineeringData PreprocessingModel Validation
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TensorFlowPandasSQLPythonMachine Learning

About

Results-driven AI/ML Engineer specializing in Computer Vision, deep learning architectures, and 3D medical imaging pipelines. Proven track record in optimizing algorithms, reducing prediction errors, and architecting scalable machine learning solutions across corporate and academic environments. Experienced in managing technical milestones and leading cross-functional teams to deliver robust, high-performance data systems.

Experience

AI-ML Engineer at Ege University (2025-09 – 2026-06)

  • Architected 3D medical AI pipelines for cardiovascular CT analysis, specifically addressing the Dual-Scale Problem in vessel segmentation.
  • Implemented Focal Tversky Loss and specialized architectures to improve accuracy in high-variability clinical datasets (MM-WHS, ASOCA).
  • Led a team of seven junior students, successfully managing project milestones and consortium deliverables.
  • Collaborated with clinical teams to harmonize data across different hospital sites, ensuring model robustness against radiation exposure variability.

Machine Learning Engineer at Bank of Khartoum (2024-06 – 2025-09)

  • Developed and deployed machine learning models to enhance predictive accuracy for enterprise business applications.
  • Utilized Python and TensorFlow to optimize algorithms, resulting in a 20% increase in processing speed.
  • Collaborated with cross-functional teams to gather requirements and translate them into scalable machine learning solutions.
  • Conducted data preprocessing and feature engineering to improve model performance, leading to a 15% reduction in prediction error.
  • Implemented model validation techniques to ensure the long-term robustness and reliability of deployed ML systems.
  • Analyzed large datasets using SQL and Pandas to extract insights and drive data-informed decisions.
  • Presented key findings and model performance metrics to non-technical stakeholders to facilitate strategic decision-making.

Education

Master of Artificial intelligence and business analytics in Artificial Intelligence and Business Analytics – Cape Breton University (2026-09)

Bachelor of Science (BS) in Computer Engineering – Ege University (2020-09 – 2025-09)

Skills

AI-ML Engineer

Reviews

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