Ebraheem Abdelhafez

“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)