About Me
I'm Diyeddin Almohamad, a Computer Engineering graduate and AI enthusiast who transforms complex problems into elegant solutions. I specialize in building intelligent systems that bridge the gap between cutting-edge research and real-world applications.
My journey in tech spans autonomous vehicle perception systems, natural language processing, and full-stack development. I've trained YOLOv11x-seg models for real-time lane segmentation, fine-tuned BERT transformers for automated grading, and built RAG-powered chatbot platforms from the ground up. Whether it's deep learning on GPUs or architecting scalable backends, I thrive at the intersection of AI and engineering.
Currently developing an FAQ Chatbot SaaS with embeddable widgets and a mall delivery mobile app—projects that combine my passion for AI, clean architecture, and solving meaningful problems. Ranked 1st in Computer Engineering at Erciyes University, I bring academic rigor and hands-on experience from internships at tech firms and AI training with Turkey's leading companies including Baykar, Havelsan, and TÜBİTAK.
Technical Focus Areas
Programming Languages
- Python
- C / C#
- Java
- JavaScript
- MATLAB
- SQL
AI & Machine Learning
- Computer Vision
- NLP & Transformers
- BERT / YOLO / U-Net
- PyTorch / TensorFlow
- LangChain & RAG
- Scikit-learn / XGBoost
Web & Backend
- ASP.NET Core
- FastAPI
- REST APIs
- EF Core
- MSSQL / PostgreSQL
- MySQL
Cloud & DevOps
- Oracle Cloud
- Azure / AWS
- Docker
- Git / GitHub
- Linux / Bash
- Hadoop / Spark
Education
Erciyes University - Computer Engineering (Oct 2021 - Jul 2025)
GPA: 3.64/4.00 | Ranked 1st in Computer Engineering Department and 2nd in Engineering Faculty
Türkiye Scholarship recipient for outstanding international students
Journey
Achievements
Top of Computer Engineering Department and Second of Engineering Faculty at Erciyes University (2025 graduating class). Recipient of the highly competitive Türkiye Scholarship, awarded by the Presidency for Turks Abroad and Related Communities (YTB) for academic excellence and leadership potential.
Certified in AI and deep learning through DeepLearning.AI specializations (Convolutional Neural Networks, Neural Networks and Deep Learning) and completed the Google IT Automation with Python professional certificate. Multilingual: Arabic (Native), English (Professional), Turkish (Professional).
Philosophy
I believe in continuous learning and self-improvement. Every project is an opportunity to push boundaries and solve meaningful problems. From autonomous driving perception systems to NLP-based grading tools, I approach each challenge with curiosity, rigor, and attention to detail.
My work sits at the intersection of research and engineering—combining theoretical understanding with practical implementation to build AI systems that make a real-world impact.