Ebraheem Abdelhafez

- Designing and implementing robust data pipelines with Azure Data Factory, optimizing ETL processes - Leveraging PySpark on Databricks for efficient data processing and transformation - Developing advanced unsupervised learning algorithms to pinpoint root causes of errors, enhancing data accuracy and reliability - Researched and implemented temporal fusion methodologies for enhancing 3D object detection, utilizing Bird's Eye View (BEV) Networks

“Exploring Efficient Parameterizations for Approximate Spatial Modelling” Focusing on the mapping part for the SLAM problem. - Parameterize 3D scenes into differentiable hash tables implemented in JAX - Managed to obtain high-fidelity 3D reconstructions using closed-form and learning-based inference methods - The implemented parameterizations drop the memory footprint by 40% compared to grids for the same resolution - Improve the camera pose estimation accuracy

- Implemented different machine learning classifiers to decide the certainty of approving leases for customers from different countries in a specified time window. - Developed R-shiny applications to analyze the data on the HANA Data Lake, and allowing business people to write data to the Lake through user-friendly interfaces (e.g. Pipeline-Forecasting app, Reporting Portal, Data Upload). - Technologies: Python, Numpy, R-shiny, pandas, Sklearn

- Worked on a multi-label classification problem on paragraphs in pdf documents, from its early stages (data-set creation) until the end, using the binary relevance technique to build the ML pipeline. - Implemented a python package that manages all the data-sets within the company and efficiently performs multiple operations on them to make them easily accessible to all employees. - Technologies: Python; Sklearn; NumPy; Dask; pandas; Microsoft Azure Storage; Apache Parquet.

- Developed an online platform to help in automating the hand rehabilitation process for people who suffer from hand injuries. - Implemented games that are adjusted to be played with multiple hand gestures, according to each patient's injury, and integrated these games to the platform. - Technologies: VueJs with TypeScript; D3.js; Processing.js; MongoDB; Leap Motion.

- Built the core back-end routes and functionalities for a social CRM product. - Built and maintained the database hybrid infrastructure using CassandraDB and sqlite3DB. - Technologies: sqlite3; CassandraDB; Node.js.

- Built and integrated, as a full-stack developer, user-friendly features for a web-based crowdsourcing online game “IHEARu-PLAY”. - Technologies: Python Django; HTML; jQuery.

Excellent with highest honors (1,1 German Grading System)