Alessio Angius
Sde Ii @Amazon
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WORK HISTORY
Sde Ii @Amazon
Vancouver, BC, CA
Worked in Supply Chain Optimization Technology (SCOT) which is the name of a complex group of systems designed to make the best decisions when it comes to forecasting, buying, placing, and shipping inventory- Designed, implemented and deployed an MCP server to manage Amazon delivery network via LLM Agents on AWS- Implemented a framework to detect hallucinations on LLM agent output and propose redaction- Implemented and maintain a high concurrency system at scale for Amazon.
EDUCATION
Università degli Studi di Torino
Bachelor, Computer science
Università degli Studi di Torino
Master, Formal methods for computer science
Università degli Studi di Torino
Doctor of Philosophy (Ph.D.), Computer Science
ABOUT ALESSIO ANGIUS
I am a computer scientist with a Ph.D. in stochastic modeling and system analysis.During my career, I have had the opportunity to work on large international high-stakes projects both for academia and private companies. I applied operation research and machine learning in different fi elds, from Industry 4.0 to fi nance passing by energy consumption.I have always been the primary developer of my projects and I am used to coordinating the work across different teams as well as mentoring junior colleagues.I have written 100+ technical documents (design documents, technical reports, software documentation, project proposals) and co-authored 40+ scientifi c papers.I am also used in presenting my work at international venues both in the public and private sector.By working on several different projects, I have developed a “can-do attitude” and improved my skills in problem-solving and project management.I am always eager to study new theories, learn new technologies, and fi nd new challenging problems to solveKeywords : Stochastic processes, Numerical Methods, Linear Algebra, Machine Learning, Reinforcement Learning, Operation Research, Data Analysis, AWS Cloud, Lambda, DynamoDB, Rest APIs, Spark, CloudWatch, CDK, Java, Scala, Typescript, Python, SQL, Tensorflow, Pandas, Numpy, Professional editing tools such as Latex and Gnuplot.
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