Highlights:

Skills:Scala, Python, Spark, CICD, Airflow, ETL, C, C++, Agile, PO, Bazel, Maven

Senior Software Engineer 07/2023 - current
Stellantis, Turin, Italy Italy
Industry: Automotive
Design and development of perception algorithms by leveraging radar and camera sensors with the old-fashioned methodologies (such as Kalman filter) and novel approaches ( such as CNN and transformers)
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Senior Data Engineer 11/2019 - 07/2023
Stellantis, Turin, Italy Italy
Industry: Automotive
Design and Development ETL pipelines for autonomous driving system
• Project Name Ingestion of raw Data • Tools and Languages Scala, Java, Spark, MDF4 libraries • Description I’ve been working on ingestion of the raw data in the data center • Project Name Image and Signal Extraction/Synchronization with Analytics • Tools and Languages Scala,Python, Spark, Json, Zeppelin • Description The purpose is to provide a framework to extract needed signals or images, synchronize them and perform analytics on Zeppelin in order to retrieve sensor information and KPI computation. • Project Name KPI Framework • Tools and Languages Scala,Python, Spark, Grafana, Zeppelin • Description The purpose is to provide a framework to compute the KPI of the vehicle data against reference data. My contribution was to building up the framework and I’m still developing new KPI metrics and help other teams to do so. • Project Name Data Quality Framework • Tools and Languages Scala, Spark, ElasticSearch, Kibana • Description The purpose is to provide a framework for evaluating the quality of data. My contribution is to building up the framework and developing new metrics to evaluate the data.--
Data Engineer 01/2018 - 11/2019
ST Microelectronics, Catania, Italy Italy
Industry: Manufacturing
Design and development of ETL pipelines for fab test results with the involvement of dashboards and KPIs calculation
• Project Name Automatic Defect Classifier • Tools and Languages Python, FastAI, Spark, PySpark • Description I created a dataset and managing them with Spark and Hadoop. Input data were used for machine learning algorithms.( SVM) and neural networks (CNN) • Project Name IoT Sensors • Tools and Languages Python, Raspberry PI, Apache NiFi • Description I needed to manage the temperature with sensors on Raspberry PI and creating a dataset from these data in order to better process them. I wanted to analyze the data history of equipment’s temperature.My contribution was to collect sensor data and perform analytics with NiFi.--

University of Catania 10/2012 - 10/2015
Catania, Italy, Italy
Degree: Bachelor's Degree
Major:Computer Science Engineering
Software Engineering, Computer Systems, Computer Architecture, OS, Control System, IoT, Embedded Systems, AI