Karim Gamal

• Currently serving as a Machine Learning Engineer at Forte Cloud Company, specializing in NLP and computer vision projects. • Leveraging AWS services to enhance project efficiency and scalability. • Collaborating with cross-functional teams to drive innovation in machine learning applications.

- Contributed to R&D team efforts in developing and deploying deep learning models for Android and iOS platforms. - My work at BlinkApp resonates closely with the essence of my Bachelor's graduation project on Driver Drowsiness Detection. Leveraging my skills in computer vision, I actively contribute to the development of models that resonate with the essence of enhancing safety and alertness, a theme rooted in my previous work. - GitHub: https://github.com/kareemgamalmahmoud/KIA-DDD-V2 - Second Rank: in J6 Hackathon for my Graduation Project | JESCIS+ | 2021 Link: https://drive.google.com/file/d/1qRVUjQLA7JW5idIKPl1qPI4LCHIGgtX2/view?usp=sharing - Demo Video: https://drive.google.com/file/d/1PHd-iDXBjbQ7lbhOhCcyyV0WJcLVOK7E/view?usp=sharing

Our research: Federated Learning Based Multilingual Emoji Prediction In Clean and Attack Scenarios • Predicting top1 and top3 emojis for tweets using text classification task for 4 languages using different models. • Preserving clients’ privacy using state‑of‑the‑art federated learning techniques and creating a personalized experience for each user. • Crawling and prepossessing millions of tweets in different languages through Twitter APIs • Technical Skills: Flower, Transformers(Bert, RoBerta,XLM.),LSTM, PyTorch, Tweepy - Paper link: https://arxiv.org/abs/2304.01005 - GitHub: https://github.com/kareemgamalmahmoud/FEDERATED-LEARNING-BASED-MULTILINGUAL-EMOJI-PREDICTION-IN-CLEAN-AND-ATTACK-SCENARIOS

I successfully completed the Fellowship.AI program as a Machine Learning Fellow. Worked on stateof-the-art research problems in Generative AI with outstanding collaboration and support from my teammates. Developed a strong sense of teamwork and camaraderie during the program.