That wish, as it turns out, became reality. Much of the work in Luxembourg is focused on surfacing the right products to Amazon retail customers and delivering them as efficiently as possible. Scientists in Luxembourg solve problems for our global customers and collaborate with teams worldwide. He saw the opportunity to contribute to something big and did it very well.” Going back to AmazonĬrisostomi, who is pursuing his doctorate in computer science at Sapienza, was so enthralled with his first internship experience, he wrote a LinkedIn post about it back in December. “We had him work on a big goal when we were already in the middle of the path,” he recalled, “But Donato wasn’t scared. The challenge: have the neural model understand different languages and dialects in the same utterances.Ĭrisostomi had an idea to make the neural model’s multilingual capacity more efficient by reducing repeated computation during training and removing duplication at the batch level while keeping the data distribution perceived by the model untouched.īernardi said he noticed how quickly Crisostomi became proficient in the tools, platforms, techniques, and models.
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Code mixing refers to the use of multiple languages in the same utterance – common among bilingual and multilingual speakers. “We wanted to design a neural model which could recognize code mixed utterances,” Crisostomi explained.
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Today she's helping Amazon to better formulate how to more efficiently transport packages through the middle mile of its complex delivery network. “Everyone was so friendly Davide was so nice, and encouraged me to share my ideas.” Thinking bigĪs part of Bernardi’s team, Crisostomi worked with research scientists and developers to automate the creation of artificial cross-lingual datasets to test a neural model against complex multilingual phenomena. “It was really lovely working with Davide and the team at Amazon,” Crisostomi said. Instead, he found a welcoming and encouraging environment, particularly when it came to his manager Davide Bernardi, a data science manager at Alexa AI Natural Understanding. “I had some expectations coming from movies I had seen that I would have to talk in front of hundreds of people who would be staring at me and judging me.” “I was afraid that I would find a cold environment as it was my first experience in such a huge corporation,” he recalled. The thought of working at Amazon appeared daunting at first, but Crisostomi’s experience as an intern eased his anxiety. “From the information I gathered online, Amazon’s ‘Day One’ philosophy was a perfect compromise.” “I was trying to choose between the dynamic environment of a new start-up or a larger, more consolidated company,” he said. He had been following Amazon on LinkedIn since his first year in college as his goal was to conduct applied research. How he parlayed an internship to land an expanded role at Amazon while pursuing his master’s degree. While finishing his master’s in May 2021, Crisostomi joined the Alexa Natural Language Understanding organization as an intern at Amazon’s Turin office.
“But I was most interested in the ones regarding artificial intelligence.”Ĭrisostomi went on to earn bachelor’s and master’s degrees in computer science from Sapienza Università di Roma.
“Computer science has deep philosophical roots,” he stated. He graduated high school, spent a year in the Italian army, and gained the clarity he needed about his long-term goals: He wanted to study computer science.Ĭomputer science provided Crisostomi a platform to indulge his passion for knowledge. After dropping out of high school and spending a year on a working holiday in Australia, he returned to Italy. Yet it took time for Crisostomi to discover his own abilities. Forging his own pathĪs a first-generation college student, Crisostomi forged his own path toward higher education. His mother’s enthusiasm helped spark a passion for learning that has served him well. “She understood, and probably still does, how an electronic or mechanical device works better than anyone in the house, including me,” he said. While his mother did not have the opportunity to pursue higher education, Crisostomi felt she would have made a great engineer or scientist if given the chance. “She always did her best to answer my questions,” he remembered. Each of these encounters filled my mind with questions,” he recalled.Ī curious young boy, he looked to his mother for answers. “I spent all my time running around in nature poking at leaves, animals, all sorts of things. This year’s class includes applied science, research science, and data science interns.