Experience

Yoti

• United Kingdom
• Software Development
• 200 - 300 Employee

• Research Scientist

  • Dec 2021 - Present

  - Conducting applied research in deep metric learning and training deep learning models for Face Antispoofing and Age Estimation. - Creating custom architectures to enhance the accuracy of neural networks and explain their predictions while also focusing on bias reduction. - Writing efficient code to minimize training time and multi GPU training. - Conducting applied research in deep metric learning and training deep learning models for Face Antispoofing and Age Estimation. - Creating custom architectures to enhance the accuracy of neural networks and explain their predictions while also focusing on bias reduction. - Writing efficient code to minimize training time and multi GPU training.



Fujitsu Research

• United Kingdom
• Research
• 100 - 200 Employee

• Artificial Intelligence Researcher

  • Sep 2019 - Nov 2021

  2020-2021 - Conducting research in eXplainable AI (XAI) and interpretability of deep learning models. - Explaining off the shelf classifiers / Training ML models to be more interpretable - Creating patents and publishing papers in high ranked conferences 2019-2020 - Energy efficient route optimization for electric vehicles to tackle range anxiety - Combining various data sources and performing high dimensional statistical and time series analysis as well as function approximation using DNNs. - Providing insights to the sponsors founding the project through exploratory data analysis on weekly basis in order to make principled decisions based on the available data. - Creating patents for energy efficient route optimization Show less



JENOPTIK Smart Mobility Solutions

• Germany
• Public Safety
• 100 - 200 Employee

• Machine Learning Engineer

  • Mar 2019 - Jul 2019

  - Training deep learning models for Automatic Number Plate Recognition (ANPR) using convolutional neural networks - Collaborating with other members of R&D to train and optimize deep learning models for image detection, localization and classification. - Organizing the data and cleaning, hyperparameter optimization, tuning architecture and feature extraction to boost the accuracy of the models - Training deep learning models for Automatic Number Plate Recognition (ANPR) using convolutional neural networks - Collaborating with other members of R&D to train and optimize deep learning models for image detection, localization and classification. - Organizing the data and cleaning, hyperparameter optimization, tuning architecture and feature extraction to boost the accuracy of the models



University of Ioannina

• Greece
• Higher Education
• 700 & Above Employee

• PhD Researcher - Teaching Assistant

  • Nov 2014 - Feb 2019

  - Conducting research in Differential Geometry to classify minimal surfaces under geometric conditions on the curvature - Publishing in high ranked journals and participating in Mathematical conferences as a speaker. - Prepared and delivered courses for undergraduate students in Differential Geometry, Topology, Algebra, Analysis and Statistics. - Conducting research in Differential Geometry to classify minimal surfaces under geometric conditions on the curvature - Publishing in high ranked journals and participating in Mathematical conferences as a speaker. - Prepared and delivered courses for undergraduate students in Differential Geometry, Topology, Algebra, Analysis and Statistics.



Self employed

• Ioannina, Greece

• Mathematics Tutor

  • Sep 2007 - Oct 2014