About Obada Alsehli
I’m an MSc student in Information & Communications Engineering at Istanbul Technical University, focused on image processing and medical imaging.
My background is in full-stack software engineering and building AI systems. I completed my BSc in Software Engineering at Bahçeşehir University in 2026.
This site brings together selected projects and writing from my work in image processing, AI systems and software engineering.
Study
Current study
My current MSc coursework includes advanced image analysis, pattern recognition, and mathematical methods for data analysis and machine learning. I’m developing a medical-imaging research direction alongside my applied-AI and software-engineering work.
That direction is at an early stage. I’m not presenting a thesis or experimental results here.
- BBL588E · Advanced Topics in Image Analysis
- BLG601E · Pattern Recognition
- HBM538E · Mathematical Methods in Data Analysis and Machine Learning
| Institution | Program | Dates and status |
|---|---|---|
| Istanbul Technical University (İTÜ) | Master of Science in Information & Communications Engineering | September 2026–present · In progress |
| Bahçeşehir University | Bachelor of Science in Software Engineering | September 2022–June 2026 · Completed |
| Bahçeşehir University | Optimization minor | In progress |
Work
Experience
Full-Stack Software Engineering & Technical Delivery
Voluntary contribution · June 2025–present
My contribution spans Python backend services, React application workflows, relational data modeling and document-processing integrations, alongside testing, technical documentation and handover preparation.
- Developed Django/DRF services and REST APIs with PostgreSQL data modeling, authentication and role-based access controls.
- Built and integrated React functionality for assessment, evidence-review, scoring and reporting workflows.
- Implemented document-processing, extraction and import workflows using FastAPI and Celery, including local-model integration where appropriate.
- Worked on database-query optimization, testing, technical documentation and user-acceptance preparation.
- Prepared Docker Compose deployment procedures and technical handover materials.
Background
Engineering background
My engineering work includes Python services, React applications, relational data modeling and document-processing workflows. I also work on the software around AI models, including service interfaces and automated checks.
Some professional work is confidential and is not included in the public project archive.
Public examples include the Fashion inference service and reinforcement-learning checkpoint analysis. Their case studies describe the implementation and the limits of the evaluation.
Work
Selected project history
Oldest first. IDMS shows its start month; the other dates are the month each project record gives, not completion dates. Earlier projects are not completed medical-imaging research.
- January 2026 · Highway RL AgentReinforcement learning
Also
Languages & certificates
Languages
- Arabic — native
- English — fluent
- Turkish — learning
Certificates
- Deep Learning Specialization — DeepLearning.AI, December 2025 – March 2026
Contact