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Ozgun G

@ozgung

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AI Research Engineer at Monitize AI building multimodal video pipelines and robotic data collection systems.

Germany

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At Monitize AI, I developed egocentric perception and multimodal representation pipelines for video understanding, action prediction, and cross-task generalisation. I also designed a video ingestion and prefilter system for smart-glasses and headset footage.

I built a task-based crowdsourcing framework for robotic data collection and prototyped imitation-learning pipelines for manipulation tasks. I collaborated with cross-functional teams to productionize data pipelines and prepare curated sample packages for industrial partners.

At HELLO LLAMA AI, I developed and tested computer vision algorithms for object detection, mobile devices, edge perception, and robot control. I also deployed AI applications on AWS and built machine-learning infrastructure for video analysis and CNN model training.

My projects include a radar-based hazard detection system, a WebRTC teleoperation system for delivery robots, and a RAG assistant for scientific literature analysis. I hold a Distinction MSc in Computer Science with Artificial Intelligence from Keele University and was selected for a Marie Curie-funded PhD position in Batteryless Artificial Intelligence Systems at the University of Trento.

Experience

Work history, roles, and key accomplishments

AI Engineer

RadioLogics AI

Feb 2026 - Jun 2026 (4 months)

Developed age estimation models using the Human Bone Age dataset for medical imaging analysis. Conducted research on OCQT-based methods for AI-assisted human bone density assessment.

Machine Learning Medical Imaging Python

AI Research Engineer

Monitize AI

Aug 2025 - Feb 2026 (6 months)

Focused on egocentric video understanding and multimodal representation pipelines. Led development of video ingestion systems and crowdsourcing frameworks for robotic data collection.

Transformers Contrastive Learning Diffusion Models Computer Vision Python MLOps

Research Engineer

Sapienza University of Rome

Nov 2024 - Apr 2025 (5 months)

Researched and developed mobility projects including Road Analyst, Safety Manager, and Crowdsourcing. Implemented data-driven modules for traffic analysis and automated risk scoring.

Python Machine Learning Spatial Analytics Data Pipelines

Computer Vision Engineer

HELLO LLAMA AI

Sep 2021 - Jul 2024 (2 years 10 months)

Developed and tested vision algorithms for object detection and orientation. Deployed AI applications on AWS and built machine learning infrastructure for video analysis and CNN training.

Computer Vision Deep Learning AWS CNN Edge AI Python

Data Scientist

Deepli (A-LabInsider)

Apr 2021 - Jul 2021 (3 months)

Executed data scraping projects and conducted data analysis to integrate business needs into the app. Used Selenium and BeautifulSoup for automated data extraction and reverse engineered web technologies.

Python Selenium BeautifulSoup Data Analysis JSON

Software Engineer/Analyst

Ems Electronic & Medical Systems Inc.

Jun 2019 - Jan 2021 (1 year 7 months)

Assisted in building e-commerce websites and generated back-end programming using Apache, PHP, CSS, JavaScript, and MySQL. Implemented C# class library for SQL server database access layer.

PHP MySQL JavaScript C#SQL Server Apache

Game Engineer

Peaksel D. O. O.

Jun 2018 - Aug 2018 (2 months)

Programmed and tested 20 levels of the Biology room of the '100 DOORS' game using Unity and C#. Ensured stability and performance across platforms and collaborated on game development process improvements.

Unity C#Game Development Testing

Student Intern - Peer Tutor

Çukurova University, Innovative Lab.

Nov 2017 - Feb 2018 (3 months)

Advised and tutored students in C programming and Arduino. Completed projects including automated roller blinds, RFID key systems, and temperature applications.

C Arduino Embedded Systems

Education

Degrees, certifications, and relevant coursework

KU Ingolstadt

Master of Science, Data Science

2026 -

Pursuing a Master of Science in Data Science with a focus on robotic data and manipulation.

Keele University

Master of Science, Computer Science with Artificial Intelligence

2022 - 2023

Grade: Distinction (4.00 GPA)

Gained in-depth understanding of artificial intelligence techniques and their advanced applications in key fields such as social media analysis, image processing, data mining, speech processing, and automated marketing recommendations.