About Me
Highly accomplished Software Engineer and Data Engineer with a track record of success spanning over 7 years. Proficient in Python and SQL development, with additional expertise in Java, GoLang, and JavaScript. Specialized in API design for artificial intelligence applications, data engineering, cloud computing, and scalable system design. A results- driven professional with a passion for creating efficient and innovative solutions.
Experience
-
Senior Software Engineer
Deutsche Bahn, Frankfurt
09/2022 - Heute
- Python software Development for AI Application
- API Design and Implimentation using ORM, FastApi and Reids
- Database Desing, Normalization and Implimentation using PostgreSQL
- Data Engineering and Dev-Ops
-
Python Software Engineer
SCHUFA - Wiesbaden
01/2018 - 08/2022
- Data Engineering with Python and Spark
- Machine Learning and MLOps
- Backend Development
Education
- M. Sc. Big Data & Business Analytics FOM Hochschule, Frankfurt 07/2022 - 12/2022 Focus on Data Science, AI und Big Data
- Nanodegree Data Engineer for AI Application Udacity, Fernstudium 01/2020 - 06/2020 Focus on Kubernetes, Helm Chart, Data Pipeline with Airflow and Kafka
- Nanodegree Machine Learning Engineer Udacity, Fernstudium 01/2020 - 06/2020 Focus on Machine Learing and MLOps in AWS
- Nanodegree Computer Vision Engineer Udacity, Fernstudium 06/2019 - 12/2019 Focus on Image Processing, Deep Learning with (CNN), automatic image captioning and object tracking
Skills
Languages
- German
- English
- Arabic
Programming Skills
- Python
- Javascript
- Java
- GoLang
- Scala
- SQL
- HTML/CSS
Data Science
Data Science
TensorFlow, Pytorch, Keras, Scikit-Learn, Pandas, Numpy, Gensim
Big Data
Big Data
Spark, Hadoop, Kafka, Datalake, PostgreSQL
AI
AI
Deep Learning, Neurale Networks
Dev-Ops / Web Development
Dev-Ops / Web Development
Web Development: Frontend HTML/CSS, Javascript, React and Backend Flask, Django.
Dev-Ops: Kubernetes, Docker, Git, Jenkins
Cloud Computing
Cloud Computing
Amazon AWS, Microsoft Azure, Google Cloud Platform (GCP)
Reinforcement Learning
Reinforcement Learning
Open AI, Q-learning, Deep Q Neural Network (DQN)
NLP
NLP
Vectorization, TF-IDF algorithm, Text Normalization, Stemming, Lemmatization, Word embedding, LSTM
Computer Vision
Computer Vision
Image Classification, Object Detection, Object Tracking, Semantic Segmentation, Face Recognition
Projects
Featured
7
Computer Vision
1
NLP
6
Others
6