Experience

AlProtein

• Egypt
• Food and Beverage Services
• 1 - 100 Employee

• Data Scientist

  • Dec 2022 - Present

  At AIProtein 🌱, I serve as a Data Scientist and Machine Learning Engineer 💼, playing a critical role in developing, refining, and optimizing our 𝗵𝗶𝗴𝗵-𝘁𝗲𝗰𝗵 𝗮𝗾𝘂𝗮-𝗳𝗮𝗿𝗺𝗶𝗻𝗴 𝗮𝗻𝗱 𝗽𝗿𝗼𝘁𝗲𝗶𝗻 𝗽𝘂𝗿𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝘀𝘆𝘀𝘁𝗲𝗺 🧪. 𝗞𝗲𝘆 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀: 1. 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗮𝗻𝗱 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 📊🤖: analyze real time datasets gathered from our loT sensors, extracting valuable insights that drive decision-making and improve our production processes. I use ML and DL models to predict key parameters influencing our protein yield and quality, enabling us to proactively address potential issues and optimize our operations. 2. 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗮𝗻𝗱 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗖𝗼𝗻𝘁𝗿𝗼𝗹 📈⚖️: I oversee our predictive analytics system, which uses ML to anticipate and address potential risks to our yield and product quality. By analyzing data from various sensors, our system can detect and respond to changes in different factors. 3. 𝗕𝗶𝗼𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗰𝘀 𝗮𝗻𝗱 𝗔𝗹 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 🔬🧬: My bioinformatics expertise allows me to understand and optimize the biological aspects of our protein production. I am also working on integrating more advanced Al into our decision control systems, enabling automatic adjustments in response to sensor readings, thus enhancing our product quality and yield. 4. 𝗦𝘆𝘀𝘁𝗲𝗺 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 🏗️💻: I am integral to the management and improvement of our system architecture, which includes loT sensors, microcontrollers, cloud-based storage, data analytics, ML models, a decision control system, and data visualization tools. I work to ensure the efficient functioning and security of this system. I am thrilled to be a part of AlProtein's groundbreaking initiative and am deeply committed to contributing my expertise to drive forward our mission 🍃🌎. Show less



Neuromatch Academy

• E-Learning Providers
• 1 - 100 Employee

• Computational Neuroscience Teaching Assistant

  • Jul 2023 - Jul 2023

  As a 𝗧𝗲𝗮𝗰𝗵𝗶𝗻𝗴 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 𝗮𝘁 𝗡𝗲𝘂𝗿𝗼𝗺𝗮𝘁𝗰𝗵 𝗔𝗰𝗮𝗱𝗲𝗺𝘆, I'm actively involved in shaping and guiding young minds through the intense, three-week Computational Neuroscience summer program 🧠 𝗞𝗲𝘆 𝗿𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀: • Guiding students through daily tutorials and assisting them in developing and executing their research projects. • Navigating students through a diverse and comprehensive curriculum, which includes theoretical modeling, machine learning, dynamical systems, stochastic processes, and causality. • Fostering a dynamic, interactive, and engaging learning environment, where students can collaboratively learn and grow. 𝗔𝗰𝗰𝗼𝗺𝗽𝗹𝗶𝘀𝗵𝗺𝗲𝗻𝘁𝘀: • Implemented innovative teaching methods to simplify complex neuroscience and machine learning concepts for students. • Assisted students in their hands-on projects, providing valuable insights and constructive feedback to improve their research outputs. • Utilized my expertise in computational neuroscience and Python programming to provide students with practical knowledge and real-world applications. This role at Neuromatch Academy allows me to use my skills and expertise to nurture the next generation of data scientists and computational neuroscientists while continually learning and growing in the field. Show less



Zewail City of Science and Technology

• Egypt
• Higher Education
• 500 - 600 Employee

• Teaching Assistant for Computer Science

  • Sep 2022 - Jan 2023

  𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗳𝗼𝗿 𝗖𝗼𝗺𝗽𝘂𝘁𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗦𝗰𝗶𝗲𝗻𝗰𝗲𝘀 • Assisted in teaching computer science and basic programming to group of 15 students, leading group discussions, and problem-solving sessions • Led weekly lab sessions for students, covering key course concepts and helping to clarify difficult material and solve problems • Mentored a group of 15 students, providing additional support and guidance as they completed course projects • Improved student performance through effective teaching methods and individualized support Show less



Computational Biology and Chemistry Lab

• Egypt

• Bioinformatics Intern at CBC lab

  • Sep 2021 - Sep 2022

  • Worked on a project 𝘁𝘂𝗺𝗼𝗿 𝗺𝗶𝗰𝗿𝗼𝗲𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁 𝗮𝗻𝗱 𝗶𝗺𝗺𝘂𝗻𝗲 𝗰𝗲𝗹𝗹 𝗶𝗻𝗳𝗶𝗹𝘁𝗿𝗮𝘁𝗶𝗼𝗻 𝘂𝘀𝗶𝗻𝗴 𝗥𝗡𝗔-𝘀𝗲𝗾 𝗱𝗮𝘁𝗮 • Used machine learning algorithms and statistical analysis (differential gene expression and gene set enrichment analysis) to identify biomarkers associated with cancer • Validated findings and contributed to publication • Gained experience in working with large datasets and applying computational techniques to biological problems • Contributed to understanding of immune cells in cancer and potential therapeutic targets 🧬 Overall, this project allowed me to gain experience in working with large datasets and applying computational techniques to biological problems. It also allowed me to contribute to the understanding of the role that immune cells play in cancer and the development of potential therapeutic targets. Show less



Neuromatch Academy

• E-Learning Providers
• 1 - 100 Employee

• Computational Neuroscience Intern

  • Jul 2022 - Jul 2022

  The Neuromatch Academy Computational Neuroscience course (NMA-CN) is an open, online, 3-week intensive tutorial-based computational neuroscience training program (July 11th-29th, 2022). The Neuromatch Academy Computational Neuroscience course will introduce traditional and emerging computational neuroscience tools and what they can tell us about the brain. We will focus not just on using the techniques, but on modelling choices, model creation, model evaluation and understanding how such models relate to biological questions 𝐓𝐨𝐩𝐢𝐜𝐬: • Modeling (model types, model fitting) • Machine Learning (GLM, Dimensionality reduction, deep learning) • Dynamical systems (Linear systems, dynamic networks) • Stochastic process (bayesian decisions, reinforcement learning) 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗥𝗲𝗽𝗼 𝗮𝗻𝗱 𝘁𝗵𝗲 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝘄𝗲𝗯𝘀𝗶𝘁𝗲 𝗮𝗿𝗲 𝗶𝗻𝗰𝗹𝘂𝗱𝗲𝗱 𝗯𝗲𝗹𝗼𝘄 Show less