Ahmed Babiker Abdalla Ibrahim

« Developed a retail demand forecasting model using ensemble machine learning
techniques, improving inventory planning accuracy by 15 to 25 percent and reducing
overstock costs
+ Designed and implemented machine learning pipelines covering data ingestion, data
preprocessing, feature engineering, and model training, resulting in a 40 percent reduction
in data preparation time
« Built a machine learning model for anomaly detection on highly imbalanced datasets,
improving detection accuracy and reducing false positive rates in financial applications
« Developed a drone monitoring system using machine learning for human detection and
anomaly detection based on multi sensor data, enabling automated alerts and improved
operational awareness

« Conducted independent machine learning research resulting in two published works,
including one peer reviewed journal article and one Master of Science thesis focused on
energy forecasting
« Developed and evaluated multiple deep learning models for time series forecasting on
more than 5 years of wind energy data, improving prediction accuracy by up to 18 percent
compared to baseline models
« Implemented and compared several model architectures, including recurrent neural
networks, transformer-based models, and hybrid approaches across energy, financial, and
retail datasets
« Analyzed experimental results using statistical methods and data visualization techniques
to evaluate model performance and support research findings.

• Spearhead the development and implementation of advanced machine learning algorithms, ensuring high code quality and scalable system architecture.
• Mentor and empower team members in AI and data science best practices, cultivating a collaborative and innovative work environment.
• Strategically plan and prioritize AI project tasks, effectively tracking progress to meet critical deadlines and deliverables.
• Act as a key liaison between data scientists, developers, and management, aligning project goals with overarching business objectives for maximum impact.
• Advocate for and recommend cutting-edge technologies, optimizing processes to enhance performance and drive project success.

Designed and implemented scalable software components and data processing workflows.
Collaborated on backend development for enterprise systems with cross-functional teams.
Introduced early-stage automation and analytics tools to improve operational efficiency.

+ Led a 4-person engineering team delivering scalable backend systems and data processing
workflows for enterprise clients in financial and operational domains.
+ Managed system design, code reviews, and feature delivery while supporting code quality
and coordinating cross-functional tasks.
« Collaborated directly with founders and clients to define, implement, and ship product
features aligned with business requirements.