Building AI-driven systems focused on performance, efficiency, and real-world impact
Data Analyst with a Software Engineering background, working across data engineering, system optimization, and sustainability analytics.
Focused on solving real-world problems through data, improving system performance, and building efficient, scalable solutions.
I build systems that are not just functional, but efficient by design.
My work sits at the intersection of AI, software quality, and sustainable computing — with a focus on improving performance, scalability, and resource efficiency.
AI-powered software quality intelligence platform that transforms code metrics into actionable insights.
Distributed microservices system with fault tolerance (Saga pattern, retries, circuit breakers) and real-time observability.
Data-driven analysis of software resource usage and its impact on energy consumption, with predictive modeling.
NLP pipeline that transforms text into structured emotional insights and dashboards.
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Analyzing Software Resource Consumption Data for Sustainable Green Software Development: A Predictive Model to Reduce and Optimize Energy Consumption in Software | Presented at AII 2025, Washington, USA
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Graphing the Jam: GNSS-Powered Modeling and Forecasting of Urban Traffic Congestion | Presented at NetMob 2025, Paris, France
Nestlé Business Solutions Data quality, reporting, assist project management, and process optimization across MENA systems
Nile University Data analytics and urban mobility research
RiskRice Backend development and testing
Symbios (Australia) Operations and client management in telecom and energy sectors.
Core: Python · C++ · JavaScript
Data & AI: Pandas · NumPy · Scikit-learn
Development: Flask · React · .NET
Tools: Docker · SQL · Git · Power BI
- Machine learning for system performance
- Energy-efficient systems
- Data-driven optimization
