About

Vittorio Trettenero is a Junior Machine Learning Engineer at Sysdig, with a passion for solving complex problems and enigmas. He is driven to work relentlessly on a given task until he arrives at the right answer. At Sysdig, Vittorio is responsible for solving complex anomaly detection problems to improve customer security in the cloud. He is skilled in full-stack development of MLOps pipelines, including data engineering, data science, and production deployment of ML models. He has also consolidated skills in Kubernetes deployment of multiple microservices and implemented a batching algorithm on the data prediction pipeline, improving data processing speed by 60%. Prior to his current role, Vittorio worked as a Software Development Engineer Intern at Amazon, where he developed a full-stack web application from scratch. The application now serves as an internal tool used by Amazon Business employees to manage B2B promotions. Vittorio built the frontend with ReactJS and the backend using various AWS resources such as Lambda, StepFunctions, and API Gateway. He improved development speed and customer service efficiency by allowing users to perform database operations through a friendly UI. Vittorio also worked as a Data Science Intern at Immobiliare.it, where he investigated a large dataset regarding users and properties to identify potential scammers. He built a pipeline to extract entries from the database, actuate thorough data cleaning and feature engineering, and feed the data frame to a decision-tree algorithm. He developed an automated fraud-detection system, improving user security. Vittorio has a BSc (Hons) degree in Artificial Intelligence and Mathematics from the University of Edinburgh. He also has a High School Diploma from United World College Costa Rica and Liceo Scientifico Paolo Lioy. Vittorio's tech stack includes ML, AI, Data Scientist, Data Engineering, AWS, Kubernetes, Microservices, Software Engineer, ReactJS, UI, Frontend, Backend, Web, XGBoost, Scikit, Pandas, and MongoDB. He has 1.95 years of relevant experience.