Samuele Gigante

Background

About Samuele Gigante

Passionate AI enthusiast and Engineer with a Master's degree in Software Engineering - Artificial Intelligence and Data Analytics from Polytechnic University of Turin.My skill set includes Python, C/C++/C#, Java, SQL and NoSQL, Big Data Analysis, PySpark, PyTorch, TensorFlow, AWS Services and LangChain/LangGraph, which have been instrumental to bring ideas to life and solve real-world challenges.During my academic studies I did an internship at Altec Space, serving as a Data Engineer. This experience provided firsthand insights into real-world data scenarios. I was responsible for the creation of an innovative learning-based methodology for traversability analysis and path planning of a Martian rover. This approach served as the foundation for my Master's Thesis, deepening my expertise in Machine Learning and Data Analysis.For the last couple years I worked as a Machine Learning Engineer at Links Management & Technology, where I designed and implemented solutions for: • Legacy banking modernization & AI orchestration with multi-agent chains for Retrieval Augmented Generation (Langchain/LangGraph, automatic Abstract Syntax Tree parsing for software re-engineerization); • Cloud document intelligence with end-to-end Intelligent Character Recognition and Entity Extraction cloud technologies (AWS Textract, Comprehend, Bedrock.Net); • Edge-cloud analytics for green efficiency & sustainability with time-series pipelines for forecasting, predictive maintenance and decision support across datacenters/buildings (FastAPI, InfluxDB, time series analysis); • Text-To-SQL systems for Public Administrations and RAG chains specialized on legal documents.I am eager to leverage my skills to make meaningful contributions in the fields of Data Science and Artificial Intelligence. I welcome the opportunity to connect and explore how my experience can align with your organization's vision :)