Passionate AI/Data Engineer with a solid background in Machine Learning, data pipelines, and LLM-based apps. Hold a B.S. in Communications and Information Engineering with a focus on AI. Graduated with excellence from Zewail University, achieving a perfect 4.0/4.0 GPA in my senior and most challenging year, showcasing a deep-rooted interest in AI. Noteworthy accomplishments include winning first place in a national AI hackathon and earning first place for a graduation project competition.Currently leveraging expertise in AI and data engineering to drive impactful decisions and yield valuable insights. Professional journey involves constructing ML models, developing data pipelines, and extensive work with cloud computing and big data technologies. Committed to ongoing learning, particularly in prompt engineering, to remain at the forefront of industry advancements.Known for meticulous attention to detail and a collaborative demeanor, excelling in team environments. Eager to embrace new challenges and contribute to pioneering AI and data engineering projects.* Details: *- Education: B.Sc. in Communications and Information Engineering from Zewail University.- Academic Excellence: Admitted through rigorous STEM exam; Graduated with an Excellent grade (GPA: 3.3/4).- *Notable Achievements:* - Winner of Dell Technologies AI Hackathon. - Best Graduation Project: Action Detection using Deep Learning. - Participant in Hult Prize business competition.- Experience: Junior Teaching Assistant (Machine Learning), AI/Data Engineer.- Interests: Deep interest in AI, bolstered by coursework in Machine Learning, Deep Learning, Computer Vision, NLP, Big Data Analytics, and Cloud Computing.- Current Focus: Strengthening prompt engineering skills and exploring innovative language model applications.* Key Projects and Skills: *- Machine Learning: Developed classification model addressing specific business needs.- Data Pipelines: Constructed Apache Beam streaming data pipeline for DataFlow, enhancing data processing capabilities. Also, implemented RabbitMQ source for Apache Beam, enhancing real-time data handling.- Vector Stores: Extensively optimized data retrieval and storage using vector stores.- LLMs and Prompt Engineering: Collaborated on LLMs using LangChain framework.- Databases: Proficient in MongoDB, creating complex aggregation pipelines.- Cloud Computing: Experienced in Google Cloud, utilizing cloud-based tools for scalable and reliable data solutions.- GraphQL: Applied GraphQL for efficient data querying and manipulation.