Hi, I'm Onur Kirman
Software Engineer at DEEL specializing in AWS data pipelines, machine learning, and payroll automation. M.Sc. in Computer Science with expertise in AI, Computer Vision, and full-stack development.
About Me
Get to know more about my background, education, and interests
Who I Am
Software Engineer at DEEL specializing in AWS data pipelines, machine learning, and payroll automation. M.Sc. in Computer Science with expertise in AI, Computer Vision, and full-stack development.
With hands-on industry experience at leading companies and a strong academic background, I bridge the gap between theoretical research and practical applications in AI and software development. I'm passionate about solving complex problems and contributing to cutting-edge research in computer vision and machine learning.
Location
Istanbul, Turkey
Experience
4+ Years
Research Interests
Education
M.Sc. in Computer Science
Ozyegin University
GPA: 4.00/4.00 - Thesis: Pathloss Image Prediction from Satellite Images with DDPM
2026B.Sc. in Computer Science
Ozyegin University
GPA: 3.55/4.00 - Thesis: Handwritten OCR with Transformers
2021B.Sc. in Electrical & Electronics Engineering
Ozyegin University
Double Major (Top Ranked) - Strong mathematical and engineering foundation
2021High School Diploma
Asiye Ağaoğlu Anatolian High School
Istanbul, Turkey
2017Professional Experience
My journey through research and industry positions
Software Engineer
DEEL
- Build and optimize AWS payroll data pipelines, cutting latency by 30%
- Apply ML for anomaly detection, reducing payroll errors by 15%
- Collaborate with global teams to deliver scalable payroll automation
Jr. Data Engineer
SafeGuard Global
- Developed AWS-based data platform adopted company-wide, improving payroll productivity 10x
- Built full-stack web services for finance, increasing efficiency and profit
- Created GTN Consolidation Tool with significant impact on operations
ML Project Engineer
Fishency Innovation
- Created computer vision datasets for fish health monitoring
- Built wound corpus for generative modeling and knowledge distillation
- Applied advanced ML techniques to marine biology applications
Research Assistant
Ozyegin University
- R&D on Computer Vision applications of Machine Learning
- Organized/Graded/Lectured courses on DBMS, Agile Software Development, Data Structures & Algorithms
- Published research on Handwritten OCR with Transformers (IEEE TUAC 2021)
Project Engineer, R&D
Arçelik Global
- Developed robotic vacuum cleaner software with Python & ROS
- Designed algorithms for specular surface detection in 2D LiDAR scans
- Implemented advanced robotics algorithms for autonomous navigation
Skills & Technologies
Technologies and tools I work with
Programming & ML
Data & Cloud
Development
Web Technologies
Specialized
Certifications & Training
Professional development and specialized training programs
New Approaches and Applications of Artificial Learning
BAYÖYO - Artificial Intelligence Summer School
Comprehensive training on AI, Deep Learning, Computer Vision, Robotics, and Natural Language Processing
View CertificateFinancial Modeling and Data Analytics Camp
Marsh Insurance
Advanced training in financial modeling and data analytics techniques
Digital Marketing in Entrepreneurship
Ozyegin University
Training program focused on digital marketing strategies for entrepreneurs
Artificial Intelligence Summer School
YazSum - Sakarya University
Foundational AI concepts and machine learning fundamentals
Featured Projects
A showcase of my research work and development projects
GTN Consolidation Tool
Built payroll data platform at SafeGuard Global that boosted productivity 10x and was widely adopted company-wide.
Pathloss Image Prediction with DDPM
M.Sc. thesis project using Denoising Diffusion Probabilistic Models to predict pathloss from satellite images.
Handwritten OCR with Transformers
Developed novel segmentation method for handwritten text recognition, benchmarked on IAM dataset. Published at IEEE TUAC 2021.
Fish Health Monitoring System
Created computer vision datasets and wound corpus for generative modeling in marine biology applications at Fishency Innovation.
Robotic Vacuum Navigation
Developed navigation and specular surface detection algorithms for autonomous robotic vacuum cleaners using ROS and Python at Arçelik.
Want to see more of my work?
View All ProjectsGet In Touch
Let's connect and discuss opportunities for collaboration
Let's Start a Conversation
I'm always interested in hearing about new opportunities, research collaborations, or just having a chat about technology and innovation. Feel free to reach out!
Location
Istanbul, Turkey