Greetings, I am a highly motivated and progress-focused Electrical Systems Engineer and former Product Manager with a long-standing background in this industry. With a track record of initiative and dependability, I have devised strategic initiatives which I believe will prove valuable to your firm. My attached resume outlines all that I could offer to your esteemed organization. Here's the overview: Throughout the course of my career, I have perfected my project management and quality control abilities. I am a capable and consistent problem-solver skilled at prioritizing and managing projects with proficiency. In my previous role, I contributed to innovation, problem-solving, and cost control toward team efforts and business improvements. I am progressive minded and in tune with new developments in my field. I have proven to be effective and collaborative with strong critical thinking talents. I enjoy collective brainstorming sessions which help me coordinate activities to achieve a common goal. Please take a moment to review my attached resume and credentials. I would greatly appreciate the opportunity to speak with you regarding my candidacy. Thank you for your consideration. Sincerely, Abhishek

Sarah Anne-Marie Said, French/Egyptian Computer Engineer Education: - Bachelor of Computer Science & Engineering - Bachelor Thesis in Stuttgart (Germany) - M1 Informatique, Décision, Données at Université Paris-Dauphine - Master in Artificial Intelligence (M2) at Université Paris-Saclay --------------------- Professional Experience: - 6-month internship at Zaion (Speech Recognition, NLP, Data Engineering...) - 5-month internship at Inria Paris (Computer Vision, Python Development...) - 6-month internship in Stuttgart (Data Augmentation, Data Engineering, NLP on code-switched data...) - 5-month Full-time Software Engineer (Backend, Frontend, Testing...)

Cybersecurity student finishing my masters degree. Strongly interested in a job in the field with no preference between remote or in-person. Willing to relocate. Experienced with WFH due to the pandemic.

Experienced Research Assistant with a demonstrated history of working in the higher education industry. Skilled in MATLAB and Python. Strong research professional with a Master's degree focused in Communication and Media Studies from University of Stuttgart.

Working as a full-time software engineer. Currently, I am focusing on front-end development using JavaScript. I build user interfaces using React and TypeScript, and work on features including UI, furthermore in various projects, I have also been included in projects in which my primary role was focused on developing application programming interface (API), and back-end layers to develop full-stack experience. I am delivering high-quality software using best coding practices. In my everyday work, I develop, document, test, and deploy features to solve product adoption impediments.

Currently, I work at CERN in the MΕ section of the EP-ESE group and my project involves the characterization of the final RD53 ASICs for the upgrades of the ATLAS and CMS pixel detectors, using BDAQ53 data acquisition framework. Specifically, I develop testing software in Python, as well as firmware for Xilinx Kintex-7 FPGA using Verilog in Vivado to design the digital circuit and simulate it. For my testing I use a variety of lab instruments and I have developed Python drivers to remotely control them via TCP/IP, UDP and GPIB. My previous experience includes working in the Computational section of a Neuroinformatics Lab, researching memory consolidation of mice, using Python, MATLAB and Linux bash. Specifically, I was using signal processing techniques in Python and MATLAB to electrophysiological signals, in order to detect high frequency events in cortex and hippocampus of rodents and finally machine learning algorithms for the classification of spiking activity. In addition, I have worked on the development of a machine learning system in Tensor Flow and PyTorch for the assistance of patients with diabetes through image recognition. This research was done during my internship at Centre for Research & Technology Hellas and was presented and published at the EAI MobiHealth conference. My Master’s thesis involved Computer Vision (CNNs) and Natural Language Processing techniques (LSTMs, Transformers) in Python to deal with the problem of Food Categorization.

Mostafa Ashraf was born in Cairo, Egypt. He received his B.S. degree in Computer and Systems Engineering from the Faculty of Engineering, Ain Shams University, Cairo, Egypt. He conducted his bachelor's graduation project working in the neuroscience field using a brain-computer interface (BCI) and applied this concept to the Steady-state visually evoked potential (SSVEP) area, in a wheelchair. The wheelchair had various movement methods like manual and autonomous modes, that’s done by various machine learning algorithms, such as artificial neural networks and support vector machines. The gradation project uses many technologies, including Brain Signals Extraction using EEG, Time Series Signal Processing, Machine Learning, Computer Vision, Deep Learning, Embedded Systems, Autonomous Navigation, and Motion Planning. The graduation project was sponsored by Valeo and IHUb, and it was qualified as one of the top five projects in the Middle East, Africa, Russia, and Turkey. Mostafa joined Google Summer of Code (GSoC) and had provided support to Spirv-fuzz, which is used to explore vulnerabilities in graphics drivers on Android and PC devices through various input transformations, and metamorphic testing principles. He has strong technical skills in Software Engineering (but not limited to): Design patterns, Data Structures, Algorithms, Object-oriented design, Problem-solving, and Multithreading. Furthermore, he looks to improve himself continuously. Skills: C, C++, Python, JavaScript, basics of Java, SQLite, CMake, Docker, Object-Oriented Programming, Data structures, Algorithms, Multithreading, Design Patterns, Problem-solving, Amazon-SageMaker, React, and more.

After over 6 years of experience in designing and developing backend cloud-native web services, I decided to switch my career focus to low-level systems engineering, parallel programming, Linux Kernel internals, performance tuning, and modern CPU architectures.

Experienced FPGA engineer with a 1 year of experience for developing hardware and software solutions. Proven ability to take complex designs from concept to production, working with cross-functional teams to deliver high-quality products on time and within budget. Seeking for new challenges in semi-conductor industry to learn more in the field, and achieve more in my career

I am a React Native Developer with 2+ years of experience. Co-founded Egypt’s first anti-sexual harassment platform "Matkhafeesh". Developed an anti-covid-19 app, a water usage management app, a carpooling app, a recycling app and a car repair service app in 2-day hackathons each.