cv
This is a brief overview of my career, for a more detailed view, kindly download my CV.
Basics
| Name | Selim Elbindary |
| Label | Computer Scientist |
| selimelbindary@gmail.com | |
| Url | https://selimbin.github.io/ |
| Summary | I am a computer scientist specializing in Autonomous Systems |
Work
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2024.02 - Present Research Assistant
Fraunhofer IPA
Work focused on Safe Human-Robot Collaboration using machine learning.
- Worked on generating synthetic datasets using omniverse in order to train Machine Learning models with a focus on safety in warehouses.
- Finetuned YOLOX on multiple datasets using the synthetic data and analysing the results to analyze the sim-to-real gap.
- Developed an Isaac Sim extension that allows user to generated synthetic datasets in warehouses, custom scenes and with the possibility to include digital twins. An asset library was designed and added in order to allow users to tailor the dataset generation to their needs.
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2023.04 - 2024.01 Junior Data Scientist
HYVE Technology Consulting
Worked on integrating Large Language Models into projects, building applications, and chatbots.
- Integrated GPT-4 and local LLMs in various projects.
- Automated workflows using Prefect.
- Built custom chatbots utilizing GPT-4 with vector databases and dashboards.
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2021.10 - 2022.02 Wildfire Detection Researcher
German University in Cairo (GUC)
Conducted research on wildfire detection using CNNs under the supervision of Dr. Mohammed Salem.
- Designed a lightweight architecture for early wildfire detection using image and video analysis.
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2020.07 - 2020.09 Data Analytics Trainee
HYVE Technology Consulting
Worked on consumer and customer service interaction datasets.
- Extracted, transformed, and loaded large datasets using Apache Spark.
- Created visual reports for end-users with PowerBI.
- Learned the basics of machine learning using TensorFlow.
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2019.10 - 2020.01 Junior Teaching Assistant (TA)
German University in Cairo (GUC)
Lab instructor for the Python CS102 course.
- Supervised and explained concepts in two weekly labs.
- Assisted students and graded lab assignments.
Education
Publications
Languages
| Arabic | |
| Native speaker |
| English | |
| Fluent |
| French | |
| Fluent |
| German | |
| Basics |
| Spanish | |
| Basics |