AI & Computer Vision Engineer | Operations & Event Logistics | Computer Science Dual degree Student @ Ain Shams & UEL
I'm Omar Salama, a Computer Science & Artificial Intelligence undergraduate pursuing a Dual Degree at Ain Shams University and the University of East London, with additional AI coursework at MAHE.
I specialize in Data Science, Machine Learning, Deep Learning, Computer Vision, and Automation. My experience includes building predictive models, intelligent systems, and full‑stack applications, with a strong focus on solving complex real‑world challenges through data‑driven approaches.
Beyond technical expertise, I bring leadership in operations and event logistics, having served as IT Specialist, Backend Developer, Event Operations Leader, and Director of Operations. This unique blend enables me to bridge AI innovation with organizational leadership, managing people, resources, and workflows while delivering scalable solutions.
Currently, I am advancing my skills in Computer Vision architectures and Automation, designing intelligent systems that push the boundaries of AI research while integrating seamlessly into industry applications.
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Sept 2022 - Present
Ain Shams University & University of East London (Dual Degree)
Nov 2022 - Aug 2025
NLP: Delivered training on Deep Learning/Transformers and developed curriculum.
Operations: Led strategic planning, managed volunteers, and secured key partnerships.
July 2024 - Oct 2024
Built a scalable e-commerce app using Flutter, Next.js, and SQL. Optimized backend queries, reducing processing time by 30%.
Oct 2024 - Aug 2025
Managed DNS systems and executed bulk email automation campaigns, significantly improving communication efficiency.
Oct 2024 - Jul 2025
Developed path planning algorithms from scratch for the SHELL team. Optimized performance for robotic efficiency.
Jan 2025 - Nov 2025
Analyzed financial states for operational efficiency and finalized strategic deals. Conducted market research to identify partnership opportunities.
Mar 2025 - Present
Organized high-profile events including El Gouna Film Festival and Disney on Ice. Ensured seamless execution and attendee satisfaction.
July 2025 - Oct 2025
Developed an interactive news summarization chatbot and conducted research under Prof. Ramakrishna culminating in a published paper.
Real-time liver tumor detection & segmentation with 95% accuracy and 91.7% Dice score on unseen patients — zero data leakage using strict patient-level validation.
Conversational AI that summarizes news articles in 5 sentences, extracts topics, and generates thought-provoking questions — powered by Google Gemini 2.5 Flash.
NASA Space Apps Challenge 2025 — ResidualMLP classifier achieving 95.28% accuracy on K2 exoplanet candidates with SHAP explainability.
Validated expertise in building, training, tuning, and deploying ML/DL models at scale on AWS.
June 2024 – June 2027Developed ExoNet: AI-powered exoplanet classifier using NASA K2 data (95.28% accuracy).
October 2025Industry-recognized certification in AI theory, neural networks, deep learning, and cloud AI.
September 2024Government-backed intensive program in ML, DL, ANN, data analysis, and soft skills.
September 2024Proficient English user — highest level of fluency in speaking, writing, and comprehension.
October 202530+ hours hands-on training in object detection, image classification, and OpenCV pipelines.
August 2023Cairo, Egypt
omarsalamal17@gmail.com
+20 102 498 0973