I'm Mohamed Ayman.

Interested In 2D/3D Computer Vision, Natural Language Processing, and Utilizing Optimization and Machine Learning to automate Software Engineering Tasks.

Resume Contact

About me

I am currently pursuing my undergraduate degree at the American University in Cairo. My repertoire of skills has been refined through several technical internships and research undertakings in diverse Computer Vision domains, such as compositional learning, data mining, and Natural Language Processing, particularly in the context of search optimization, public health policies, and data distillation.

Location:Cairo, Egypt
Date of Birth:12/03/2000
Nationality:Egyptian
Study:The American University in Cairo
Interests:Problem Solving, 2D/3D Computer Vision, Natural Language Processing, and Optimization

Education

The American University in Cairo

New Cairo, Egypt•August 2018 - July 2023

pursuing a BSc in Computer Engineering with a Minor in Mathematics to establish a strong foundation in systems, machine learning, and software engineering.

Work Experience

Research intern — Vision CAIR Lab

KAUST — King Abdullah University of Science and Technology•February 2023 - Present

Applied Science Intern — Zcode Translation Team

Microsoft•July 2022 - September 2022

Software Engineer Intern

Suitera L.L.C•September 2021 - April 2022

Software Engineer Intern

Envelope.network Inc.•June 2021 - August 2021

Skills

Languages

C++, Python, SQL, Scala, JavaScript, CSS, HTML, Vue.js, React JS

Framework, Software and Tools:

Selenium, Flask, Numpy, Pandas, Tensorflow, Pytorch, Git, Node Js, Phabricator, JIRA, AWS, JWT, CUDA C, PyTorch.

Check out some of my work

3DCoMPat++

3DCoMPaT++ is a multimodal 2D/3D dataset of 8 million rendered views of more than 10 million stylized 3D shapes carefully annotated at part-instance level, alongside matching RGB pointclouds, 3D textured meshes, depth maps and segmentation masks.

FCSANN: Undergraduate Thesis Project

A Fast Search Algorithm in Document Reterival System.

Data Distillation in NLP datasets: Private Repo

A streamlined approach to optimize NLP datasets' signals by reducing the required data points.

Fake News Detection

Well-identified model to detect whether the given text has fake news or not.

A-Comparative-Study-of-Closed-Issues-in-TensorFlow-and-PyTorch-Frameworks

This datascience project aims to explore the differences between the closed issues of TF

Handling load balancing and peer-to-peer communication in a distributed system using Rust

Simulating the interaction between servers and clients.

BootLoader

Implemented an Assembly Program using 86-64x starting with BIOS and ending with Scanning PCI devices in Long Mode.

GPU Programming with CUDA

A repo for all projects I implemented in GPU class using nvidia CUDA toolkit for programming GPGPUs Topics.

SafeBox

Encrypting and Decrypting Huge number of Data efficiently.

Took part in the ECPC and ranked 1st in AUCCPC on 40 teams and the first 20 in Egypt.

-- Egyptian Collegiate Programming Contest “ECPC”, Bronze-medalist and ACPC Finalist

Participated in the GITEX competition for detecting and regulating emotions using Deep learning.

-- GITEX High Flyer, Final participant

Led the team to rank eighth out of over 100 teams in the first AI hackathon in Egypt.

-- Dell Technologies C(4F)2 Hackathon ”Final Participant

Accomplished being one of the top 0.1 % amongst the spring 2023 students.

-- AUC Award for Academic Excellence

Get in touch.

Email: mohamedayman15069@aucegypt.edu
Location: Cairo, Egypt
Github: Mohamed Ayman