Ahmed Tamer El Boardy

🚀 I design and build real-world AI systems — from LLM-powered apps and multilingual NLP pipelines to scalable cloud-based services and beyond. 💼 With extensive industry experience, I’ve led and contributed to the development of NLP, computer vision, and backend services. My work includes designing scalable AI pipelines and deploying performant RESTful APIs using Python (FastAPI), Docker, Kubernetes, and cloud platforms (AWS/GCP), with a focus on performance and maintainability. 🎓 I am currently a PhD candidate in Information Science at the University of Hyogo, Japan, researching Large Language Models (LLMs) and Vision Language Models (VLMs) for healthcare and multilingual NLP applications. With a Master’s in Informatics and Machine Learning (GPA: 3.94), I bring a strong blend of research and hands-on industrial experience in building real-world AI systems. 🧠 My research spans LLM fine-tuning, speech and text processing, sentiment analysis, and computer vision. I have authored 10 peer-reviewed papers published by IEEE, ACM, Springer, and Elsevier, covering medical imaging, mental health assistants, Arabic NLP, and deep learning-based code analysis. 🧑‍🏫 I’ve also taught machine learning, deep learning, LLMs and MLOps to postgraduate and senior undergraduate students, mentoring research projects and promoting reproducible AI practices. 🔧 Tech Stack: Python • FastAPI • PyTorch • Hugging Face • Ollama • LangChain • vLLM • • Docker • NoSQL Databases • MLOps • AWS/GCP • 🏅 Recognized in multiple national AI competitions, with a passion for applied research and innovation. 🔗 💻 GitHub : https://github.com/Roner1-bit 📚 Google Scholar : https://scholar.google.com/citations?user=xBY1nlIAAAAJ&hl=en