I am currently a research assistant at the Robotics and Perception Group at the University of Zürich and ETH Zürich. I obtained my Master’s Degree in Robotics, Systems and Control at ETH Zürich. I further hold two Bachelor’s Degrees; a Bachelor of Science in Theoretical and Applied Mechanics and a Bachelor of Economics from Peking University, Beijing, China. I am an enthusiastic programmer.

Accomplished RD professional, engineer, data scientist, manager and inventor driving science and technology in digital health and life sciences using mathematical and computational models Python + JavaScript + TypeScript + Node.js + C++ + C + SQL + Many More #languages TensorFlow + Keras + Scikit-Learn + React + Material + Koa + Express + NumPy + Pandas + Plotly #libraries Agile + Node + Git + Docker + Travis CI + Linux + Bash + Flow + Sketch #development Diversity + Equity + Inclusion + Integrity + Education + Community #corevalues I thrive in collaborative environments with the ability to navigate complex projects; manage and mentor colleagues; and advance leading-edge technology and scientific knowledge. I hold a PhD and MS in Applied Mathematics as well as BS in Mathematics from the University of California, Davis.Subject Matter Expertise: Research, Healthcare Life Sciences, Computational Mathematics, Data Science, Artificial Intelligence (AI), Project Management, Team Leadership, and Communication.

I am currently pursuing Master of Science in Computer Science (Systems Specialization) at UC San Diego. Prior to this, I interned and worked at Salesforce as a Software Engineer. I did my Bachelors in Computer Science from Indian Institute of Technology Hyderabad (IITH). My interests are Distributed Systems, Software Engineering, Operating Systems, Databases, Parallel Programming. I am open to explore other areas like Machine Learning, Deep Learning, Reinforcement Learning, NLP too.

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

Data Scientist with 6+ years of experience in developing Data Products from ideation to production. Specialised in getting Machine Learning solutions to have actual impact, from buying industry standard products to implementing cutting edge Deep Learning papers. Collaborated with all levels of organisation to define their needs and foster a data informed culture throughout the company, passionate about cultivating interdisciplinary teams of Artificial Intelligence specialists, IT professionals and Business stakeholders.

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.

*** Cloud Computing, Data Governance and AI *** Seasoned Solution Architect with 14+ years of experience delivering robust, scalable data solutions on the cloud preferably Microsoft Azure. Proven track record in designing, developing, and maintaining critical data platforms for clients across diverse industries, including Bank and Finance, Healthcare, Retail, and Construction. Deep expertise in SaaS services, cloud infrastructure, microservices-based architectures, and data engineering best practices. Proficient in leveraging the Microsoft Azure cloud data platform, including Azure Data Lake, Azure SQL Database, and Azure Synapse Data Warehouse, to monitor and optimize data pipelines. Skilled in data processing orchestration using Azure Data Factory and Databricks, with a strong focus on ensuring data quality, error handling, and operational stability. Excellent communication, analytical, problem-solving, and collaboration skills with advanced programming skills in C#, Java, Python, and Node.js.

Passionate about machine learning and software engineering, exploring new concepts, comfortable with working in a team, technologies, and improving my existing skills through a continuous process of learning. Experience in both academia and industry by exploring new research areas and participating in various activities in order to improve competencies.

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.

Resourceful and solution-oriented professional with hands-on experience in cybersecurity and intelligence lifecycle. Good knowledge of Python, JavaScript, PHP