I am a graduate student in Computational Data Science at Khalifa University with a B.Sc. in Computer Engineering (AI concentration) from Abu Dhabi University. My journey combines academic research, industry experience, and a passion for applying advanced technologies to solve real-world problems.
Previously, I interned at ADNOC Gas in IT & Data Analytics, where I worked on Active Directory management, IT asset logistics, and built a Power BI dashboard that improved asset reliability insights using ServiceNOW data. During my time as Creative Lead for Google Developer Groups on Campus, I strengthened student engagement by leading branding and outreach for AI, cloud, and app development workshops.
I have developed impactful projects ranging from non-invasive vehicle occupancy detection using mmWave radar and TensorFlow, to a secure IIoT monitoring system with TLS-encrypted MQTT communication, and mobile applications integrating geofencing and real-time cloud synchronization. These experiences have honed my expertise in Python, Java, Spring Boot, TensorFlow, and embedded systems, while also reinforcing my ability to collaborate, adapt quickly, and bring creative solutions to technical challenges.
What sets me apart is my blend of technical depth and communication skills. I not only design and deploy advanced systems but also translate complex concepts into accessible insights for diverse audiences. I am deeply motivated to contribute to innovative projects in AI, data science, and decentralized technologies, while fostering collaboration and knowledge-sharing in every team I work with.
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