Developing computer vision solutions for edge devices and working as an international consultant in financial companies: • Managed dataset collection and developed a pattern detection module (FLANN) for Access control and PPE monitoring application.Technological stack: Python, Tensorflow, OpenCV, OpenVINO. • Led a small team (3 engineers) during reviewing and refactoring a feature extraction application for a corporate Unicredit platform. Stack: Spark (batch, streaming, MLlib).

Developing scalable analytical applications for main fin-tech and telecom companies in Italy: • In the team of 4 people built and tested multiple ETL applications at Unicredit Services with Scala, Apache Spark, Akka, Hadoop stack (Cloudera). • Designed, developed, integrated the core module of Data Quality - the open-source Big Data analytical framework. The code is publicly available on GitHub. • Within a huge team (20+ people) built multiple pipelines during the development of the IoT platform for Vodafone using Apache Spark (Scala), Kafka, HBase.

Was developing the new iteration of the BrandMemo platform (the social branding service) and supporting other products of the company. My responsibilities were including: • Data Analysis (Python (numpy, pandas, scikit-learn, xgboost)) • Back-end and Mobile development (Swift, Java) • System administration (Linux)

Was participating in the machine learning research workgroup: • Implemented a cloud computing system building optimizer using the MO-ITLBO algorithm with additional advances (mutations). The project was written in C++.