Founder, AI & Full-Stack Developer - Posemetric

Narlı Digital

Internet und Informationstechnologie

Development of Posemetric, an AI-powered web platform for equine posture and movement analysis.

My responsibilities include:

• Product concept and technical architecture

• Computer vision and machine learning development

• Detection and analysis of anatomical landmarks

• Image and video processing pipelines

• Backend and API development

• Frontend implementation and result visualisation

• Database design and data processing

• Testing, model evaluation and deployment

• Preparation of the platform for pilot testing with equine professionals

Technologies include Python, machine learning, computer vision, deep learning, web application development, REST APIs, data visualisation and cloud deployment.

AI/ML PhD Researcher

Charité – Universitätsmedizin Berlin

Conducting doctoral research in machine learning at Charité – Universitätsmedizin Berlin.

Product Architect and Full-Stack Developer — White-Label Learning Platform

Narlı Digital

Internet und Informationstechnologie

< 10 Mitarbeiter

Design and development of a configurable white-label platform for serious games, scenario-based training and digital learning applications.

Main responsibilities:

• Product concept, technical architecture and feature planning

• Development of reusable and modular platform components

• Custom branding and organisation-specific visual configuration

• User registration, authentication and role management

• Interactive scenarios and game-based learning workflows

• Multilingual content support

• Progress tracking, reporting and analytics

• Administration panel and content-management features

• Backend, API and database development

• Responsive frontend implementation

• Testing, deployment and technical documentation

The platform is designed to allow organisations, educational institutions and EU-funded projects to launch customised digital learning experiences without developing a new system from scratch.

Potential use cases include vocational training, Erasmus+ projects, employee onboarding, awareness campaigns and scenario-based education.

AI/ML ENGINEER

MCG MOTION CAPTURE GMBH

Designed and deployed real-time motion-analysis CNN using TensorFlow/Keras, optimized with TensorRT. Developed machine learning algorithms for biomechanics analysis focusing on kinematics of humans and animals. Created computer-vision pipelines and deep-learning dashboards for motion-capture analytics.

AI Researcher and Scientific Software Developer - DFG Research Project

Charité – Universitätsmedizin Berlin

Pharma und Medizintechnik

>10.000 Mitarbeiter

Research and development of computer vision and machine learning methods for objective animal gait, posture and lameness analysis using video data.

Main responsibilities:

• Design and development of research-grade computer vision pipelines

• Anatomical keypoint and skeleton estimation from animal videos

• Direction-aware pose estimation and visibility modelling

• Extraction of gait, posture and movement-related features

• Processing and quality control of multi-farm video datasets

• Training, validation and evaluation of deep learning models

• Statistical analysis of model outputs and clinical assessment scores

• Development of reproducible Python-based data-processing workflows

• Visualisation and interpretation of experimental results

• Preparation of technical documentation and scientific results

• Collaboration within an interdisciplinary medical and research environment

The project combines artificial intelligence, computer vision, deep learning, scientific software development and statistical validation to support objective movement assessment from video.

Machine Learning Engineer and PhD Candidate with Computer Vision Expertise

Profilanlagen

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Erfahrung

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Projekthistorie

Founder, AI & Full-Stack Developer - Posemetric

AI/ML PhD Researcher

Product Architect and Full-Stack Developer — White-Label Learning Platform

AI/ML ENGINEER

AI Researcher and Scientific Software Developer - DFG Research Project

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