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    Home»AI/ML»Violin player jumps in machine learning in LinkedIn
    AI/ML

    Violin player jumps in machine learning in LinkedIn

    PineapplesUpdateBy PineapplesUpdateJune 26, 2025No Comments6 Mins Read
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    Violin player jumps in machine learning in LinkedIn
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    Music and engineering may look like a career paths that are almost in opposition to diameter. But for Xavier Oman Infection from a professional violinist for a machine learning engineer in LinkedIn was a surprisingly natural.

    Growing in Montevidio, Uruguay, Oman excelled in both music and mathematics, and he doubled the subjects in college. But music was his true passion and after the university he made his career as a professional violin player made his career, performed, educated, and helped other artists record and create.

    Xavier Oman

    employer:

    Linkedin

    profession:

    Machine Learning Angner

    Education:

    Bachelor’s degree in music and mathematics, college of Charlston; Master in Music, University of Michigan

    But during the upheaval of the Kovid-19 epidemic, a conversation with a grade-school friend who had left music for software development, enhanced her curiosity. After taking some free online courses in python and machine learning, he quickly drowned in an attractive new world of data and algorithms. He did not take long to feel that he wanted to make a career.

    The machine was “almost magic” for the learning algorithms andman. “I was devoted to mathematics behind the functioning, behind it.”

    A double prodigy

    Orman’s unusual career trajectory can be traced back to his early childhood. Both his parents were software engineers and he grew up with a computer around the house from an early age. But he was also a music family. His mother enjoyed playing the piano, and his father trumpet.

    Violin player jumps in machine learning in LinkedInFrom music to machine learning shows the way of how people with non -technical backgrounds can succeed in software.Desmond “Des Money” Ovsu/Instagram

    His music journey began at the age of 4 when he saw a class of about 100 children playing violin as a group. Oman was fascinated and immediately told her mother that she also wanted to play violin. By his adolescents, he started touring with Uruguay’s national youth orchestra and entered music competitions. At the same time, he discovered a natural ability for mathematics and was entering the Mathematics Olympiad. But Surman says that mathematics was essentially a hobby that he focused on his music career.

    After completing two degrees, in music and mathematics, on College of Charluston In 2006, in South Carolina, Orman went to a master’s degree in music at Michigan University. Till 2009, he was playing at the orchestra at Carnegie Hall in New York City and visiting South America with a chamber music group.

    Desire to pursue a more creative Avenue, and and Mana began composing music for short films and taught himself music production, eventually creating a small studio where he would record and build other artists. Over time, he created a permanent music career by combining this patchwork of creative projects with violin teaching.

    A new direction

    In the early 2020, as the Kovid -19 was increasing the world, and the re -evaluation of his future and discovered new challenges. Near the onset of the epidemic, he spoke to a friend of a graduate school, who recently infected a software engineer from a professional violinist. He told him about the programming languages ​​and how his career was, and out of curiosity he decided to take an online python course. Soon after, he also started searching for the world of machine learning.

    He says, “I started taking online courses, but I started looking for data on things that make me interested.” For example, Surman created one Animated Heat Map Showing the rate of admission to Covid-19 hospital in each state. “Once I came to know how to make cool plots and examine the data a little more, it became really fun to do.”

    Within six months, Surman realized that it was something he wanted to pursue as a career. “I saw that I was having a difficult time for food breaks or going to sleep,” he says. “So I started taking it seriously.”

    In April 2021, Andman got a job while preparing data in New York City -Appeared Startup Koios MedicalWhich develops cancer-detection algorithms. But his big break came a few months later when he discovered LinkedIn reach Apprenticeship program, which provides a way in the technical industry for people with non -educational educational or career backgrounds. He applied and started in July as a trainee in machine learning software engineering.

    Learning machine learning

    Oman was assigned to LinkedIn’s feed AI team, which develops the recommendation algorithm that determines which posts shown to the user. There are several layers for this system, which gradually filter millions of potential positions for a specific user to determine most interests.

    In 2022, after one year in the Reig program, Surman was promoted as a software engineer and now works on a model known as “Second-Pas Ranker” in this system. It decides which posts are the most relevant to the user, such as factors such as their tendency to click or comment on similar posts.

    Most of their work involves experimenting with new machine learning techniques or making a small twist to model to squeeze extra performance. “This is a very complex system,” says Oman. “It is also a very mature system, so we measure profit in terms of tenth or hundreds of percent.”

    But he remembers the challenge and pushes new things to learn continuously. This is something that he considers his background in music, which requires continuous dedication and practice, has prepared him to do well.

    There is also deep Mathematical underpinning for musicAnd Oman feels that those connections have helped in his new career. “Those intersections move deep and it is difficult to describe them,” they say. “But they feel that both of them tickle my mind in a special way.”

    And Surman has some advice for other people that are for others coming from non-entertainment to engineering: focus on developing an intuition of how a technology works before diving into the details. He says, “It makes it easy to spend time to understand time and simply make a feeling to work on a spontaneous level,” they say. “And then you start practicing nuts and bolts.”

    One day, he hopes to marry his two major passions by working on the recommendation algorithm for music. Meanwhile, he is satisfied for him to play a different but supplementary roles in his life. “I like to take a break from my job and play Bakh,” he says. “It just looks like a good balance between the two to go forward and back.”

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