I am a Computer Science Graduate Student with a focus on Distributed Systems, Backend Development, and Machine Learning. I have experience in developing and implementing Machine Learning solutions for Samsung Smartphones. At Samsung R&D Institute, Bangalore I worked under the Data Protocol team in 5G where I performed state of art research comprising machine learning, systems, and smartphones. I love building complex mathematical models and new features starting from blank whiteboards or early-stage prototypes and transforming them into something people really value. Competencies: Python, AWS, C/C++, Machine Learning, Keras, Google Cloud Platform, Deep Learning, Linux, AWS, Data Protocols.

A dedicated developer with a profound love for building cutting-edge machine learning models and mobile applications.

At eight years old, I undertook programming lessons as an extracurricular activity at school and learned how to write simple codes in Turbo Pascal. Having the opportunity to do programming from a young age organized my way of thinking and my ideas in a logical order. Two years later, I switched to C++ and started to study data structures and algorithms, helping me gain 10+ years of experience with them. In my previous projects and work experiences, I used various languages and technologies like Java, Python, Haskell, Typescript, and React. I am passionate about Machine Learning and Computational Finance, pursuing my final year in my Master's at Imperial College London in Computing with AI and Machine Learning. The projects I completed relate to Deep Learning, Reinforcement Learning, Computer Vision, and Natural Language Processing. I seek to learn new skills and technologies and expand my knowledge of the existing ones, and I enjoy challenges that get me out of my comfort zone.

I like tinkering with software and new frameworks and I'm always open to new ideas. In my spare time, I either play videogames or exercise at the gym. I also like writing on my personal blog.

My name is Riccardo, I earned a bachelor's degree in informatics with a Data Science curriculum and I am currently a master student in Artificial Intelligence. I will be doing my thesis abroad at TU Delft on eXplainable AI applied to transportation forecasting. Beyond technology, I am really interested in topics related to the sustainability of both people, animals and the environment.

Programming in Python since two thousand and fourteen. 20+ Machine Learning (including NLP and Computer Vision) and Data Science projects done at several companies and universities in the past three years. Open Source contributor to Keras and Ultralytics. I have previously worked with large-scale transformer models for NLP (GPT-2, BERT..) at Pangeanic S.L. in Valencia (Spain), and with Computer Vision (ResNets and other types of Convolutional Neural Networks,...) at Secret Source S.L. (Canary Islands, Spain). Currently working as a Research Scientist on a computer vision project at the University of Las Palmas de Gran Canaria testing YOLOv5 and deploying UNET (semantic segmentation) + VGG16 convolutional neural network architecture on a microplastics dataset. Experienced in supervised as well as unsupervised learning, more precisely advanced classifiers and various types of Neural Engines such as BERT, GPT-2, YOLOv5, Convolutional Neural Networks, Residual Neural Networks, Recurrent Neural Networks, LSTM, simple and and Ensemble Classifiers (boosting, bagging, Random Forest..). In addition, I have worked with with advanced clustering (K-Means, DB Scan, Transactional C.), time series forecasting and classification, etc.

Wide area experienced and dedicated Data Scientist with more than 10 years of experience in chemical technology, statistic, data device implementation and computer science. Enthusiastic researcher and developer of industrial data mining and neural networks building. Want to reach full-stack data science dream.

I'm a researcher and problem solver who uses a computer science-based approach to new challenges. I'm also passionate about learning new skills, development, and applying software engineering concepts and principles. I have good experience at data importing, assessing, cleaning, manipulation, and visualization to extract the relevant information, discover insights from massive amounts of structured and unstructured data, building predictive and descriptive models using machine learning and statistical thinking.

Computer Engineering graduate passionate about Data Analysis and Machine Learning. Creative and detail-oriented Software Developer with more than 1 year of working with tech startups. Enthusiastic team player, having the ability to tackle hard tasks and adapt to the surrounding working environment.

My name is Marthe ElGawly, a very eager and ambitious person. I find that working on a piece of code is my path to artistic creativity. Every time I write one and see results, I get the feeling that I’m looking at a piece of art. I spend my free time in coding or reading.