Merve Elif Demirtas
Studentin, Informatics, Technical University of Munich
Munich, Deutschland
Über mich
A results-driven computer scientist specialising in Machine Learning. With a strong background in computer science and a passion for developing innovative solutions, I possess a deep understanding of algorithms, data analysis, and neural networks.
Werdegang
Berufserfahrung von Merve Elif Demirtas
2 Jahre und 6 Monate, Jan. 2021 - Juni 2023
Machine Learning Engineer
Agrilution (acquired by Miele)
- Handled data imbalance issue by collecting, cleaning, analysing, and augmenting the plant dataset. - Implemented Computer Vision models such as Classication and Object Detection to eliminate the manual processes for customers who need to enter the type of plant to the mobile application. - Calculated plant-leaf area by a Segmentation model to provide plant scientist. - Implemented Machine Learning pipeline to integrate Computer Vision models.
6 Monate, Sep. 2019 - Feb. 2020
Artificial Intelligence Engineer
CEZERI Articial Intelligence & Robotics
- Compared different Autoencoders and LSTM Deep Learning models in order to detect anomalous signals received by Unmanned Aerial Vehicles (UAVs). - Implemented a laser health check system involving comparisons of actual and historical altitude data versus the received signals for UAVs.
4 Monate, Juni 2018 - Sep. 2018
Computer Vision Undergraduate Researcher
University of Cambridge, UK
- Implemented Computer Vision models for group-level emotion recognition on video dataset - Applied, alternatively, classical feature extraction methods to combine with LSTM architectures.
Ausbildung von Merve Elif Demirtas
Bis heute 3 Jahre und 8 Monate, seit Nov. 2020
Informatics
Technical University of Munich
Sprachen
Englisch
Fließend
Türkisch
Muttersprache
Deutsch
Gut