I am a Full Stack Developer with a proven track record in building desktop, mobile, and web applications, as well as APIs. With strong expertise in AWS, I design scalable, cloud-native solutions that meet evolving business needs.
I also have hands-on experience developing AI-powered systems, including computer vision applications, real-time image analysis, and data-driven solutions for security and monitoring use cases.
I thrive in collaborative environments, translating requirements into practical, high-quality solutions with a solution-oriented mindset and clear communication, and I have experience working with people from diverse nationalities and backgrounds, both remotely and in person.
3+ years delivering scalable, production-grade solutions
Sumadi
Sumadi
💼 Note: The majority of solutions and projects I've led and developed are private, proprietary work for clients and companies. The projects showcased here represent a selection of public work that demonstrates my technical capabilities and approach to problem-solving.
A computer vision project comparing AprilTag-based geometric detection and a fine-tuned YOLOv8 model for real-time traffic sign recognition, analyzing accuracy, robustness, latency, and decision consistency in urban navigation scenarios.
Award-winning hackathon project where a five-member team built a Next.js web platform to connect Honduran small and medium-sized businesses with customers, winning the “TVC – Directorio En Línea Para PyMEs” challenge.
Graduate and undergraduate studies (condensed).
Focus on applied computational science and intelligent systems, covering machine learning/deep learning, robotics, IoT, data mining, research methods, ethical hacking, and business statistics.
Strong foundation in computer science and engineering, with a focus on software development, databases, and practical leadership through academic service.
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Open to discussing scalable architecture, cloud strategy, and AI integration.
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