Istanbul, Türkiye
I am a Software Engineer specializing in Computer Vision and RAG architectures, focused on bridging the gap between academic research and scalable AI applications. My background includes leading an 11-person engineering team at GLOBALPROJOB to deploy LLM-driven SaaS solutions and conducting neural network research during an Erasmus+ term in Poland. Currently, I drive R&D for TÜBİTAK projects and lead computer vision development for Teknofest. Proficient in Python and .NET 10, I architect intelligent systems like Operion and CODA, focusing on production-ready automation. My goal is to transform theoretical concepts into robust software that solves real-world challenges. Explore my work and technical portfolio at msaidh.com. Core Focus Artificial Intelligence & LLMs | Computer Vision | RAG Architectures | Backend Development (.NET/Python) | Agile Leadership & Project Management
• Developing backend solutions using Java Spring Boot, transitioning from monolithic to microservices architecture. • Collaborated with cross-functional teams to enhance On-site Super Online Services and other fixed processes. • Gained hands-on experience in ICT - Fixed Process Solutions while contributing to Turkcell's innovative projects.
We develop AI- and LLM-powered products and SaaS solutions designed to transform both home life and the business world. Our mission is to build intelligent, accessible, and scalable technologies that bring the power of artificial intelligence into everyday use. As part of our team, you’ll have the opportunity to contribute to innovative projects at the intersection of machine learning, natural language processing, and product development, helping shape the next generation of AI-driven applications.
Contributing to the development of an innovative, AI-based Turkish Sign Language (TSL) translator project aimed at removing communication barriers for the hearing-impaired community. • Working on systems that translate dynamic sign language movements into text and speech using real-time image processing and deep learning models. • Preparing, processing, and augmenting datasets with data science methodologies to improve model accuracy and performance. • Involved in the research and development for the project's next phase: a module to convert text/speech inputs into 3D sign language animations. • Actively utilizing Python, TensorFlow/PyTorch, NLP, and Computer Vision techniques in this role.