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Hassan Elamin is a highly accomplished Senior Software Engineer with over 12 years of experience specializing in building scalable distributed systems and leading high-performing engineering teams. Currently based in Dubai, UAE, Hassan has a strong background in cloud-native architectures, particularly with AWS, and is proficient in languages like Python, Go, and Java. He is passionate about leveraging technology to solve complex business problems, with a keen interest in FinTech and AI-driven solutions. Hassan is known for his strategic thinking, ability to mentor junior engineers, and his commitment to agile development practices and delivering high-quality software.
Hassan E's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Spearheaded the successful migration of a legacy monolithic application to a microservices architecture on AWS for a major e-commerce platform, resulting in a 40% reduction in operational costs and a 60% improvement in system scalability and uptime.
Received the 'Innovator of the Year' award at TechSolutions Inc. for developing a novel fraud detection algorithm that decreased fraudulent transactions by 15% within the first six months of deployment.
Authored and published a well-received technical book titled 'Designing for Tomorrow: Principles of Scalable Distributed Systems', which has become recommended reading in several university computer science programs.
Delivered a keynote presentation on 'The Future of Serverless Computing in FinTech' at DevCon Middle East 2023, sharing insights with over 1000 industry professionals.
University of Cambridge - Year 2017
Aston University - Year 2005
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
Oculare AI is building AI for ophthalmic diagnostics. Their mission is to prevent blindness by enabling accessible and accurate eye disease detection, leveraging advanced artificial intelligence to analyze retinal images and other ophthalmic data for early identification of conditions like diabetic retinopathy, glaucoma, and macular degeneration.
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