Viljami Laurmaa

Machine Learning Lead at RepRisk
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Contact Information
us****@****om
(386) 825-5501
Location
Zurich, Zurich, Switzerland, CH
Languages
  • Finnish Native or bilingual proficiency
  • French Native or bilingual proficiency
  • English Full professional proficiency
  • German Professional working proficiency

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5.0

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Fatemeh Borran

I know Vil since 2017. We have been working in the same team until early 2022. Vil is one of the most skilled and knowledgeable team members I have had the chance to work with. He has been a very supportive colleague and great contributor to our NLP projects at Swisscom. His outstanding working quality and his willingness to integrate the latest technologies and best practices into daily work have always been very inspiring. His unique and fun way of approaching difficult situations was beneficial in boosting team motivation and morale. I am convinced that Vil will be a great asset to any company. Not only does he offer elegant and innovative problem-solving solutions, but he also helps everyone on the team learn and grow.

Martin Lechner

Vil is among the most amazing colleagues I've ever had the pleasure to work with. He excels at writing clean and efficient code and mentoring others to do the same. His clear, structured thinking makes it super easy to follow along with his thought process, yet he is extremely creative in bringing up new ideas to improve code, product and processes. For many product features and technical novelties in our current product, Vil was the first one to bring the idea forward. He is also an amazingly fun coworker and will be able to cheer up any team with his clever jokes and fun, easy going attitude. I can recommend Vil for any sort of technical position, he'll be a very strong asset to any team, and I would hire him again without any hesitation.

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Experience

    • Switzerland
    • Information Services
    • 200 - 300 Employee
    • Machine Learning Lead
      • Mar 2022 - Present

    • Switzerland
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Expert Data Scientist at Data, Analytics & AI Group, Swisscom
      • Jul 2018 - Mar 2022

      We develop machine learning software solutions enabled by the latest NLP research and bring them to production in scalable cloud architecture. Throughout the past few years we have been gradually building our Conversational AI stack at Swisscom which aims at helping our customers as efficiently as possible. We process millions of customer interactions every year in 4 languages through different channels such as chatbots, phone calls with automatic speech recognition, e-mails and the Swisscom… Show more We develop machine learning software solutions enabled by the latest NLP research and bring them to production in scalable cloud architecture. Throughout the past few years we have been gradually building our Conversational AI stack at Swisscom which aims at helping our customers as efficiently as possible. We process millions of customer interactions every year in 4 languages through different channels such as chatbots, phone calls with automatic speech recognition, e-mails and the Swisscom TV voice assistant. We use various NLP techniques such as transformer-based multilingual multilabel classifiers, topic modeling / clustering, machine translation and information retrieval to achieve our goals.

    • Machine Learning Engineer at Swisscom Innovation
      • Nov 2016 - Jul 2018

      The goal of our team in the Innovation department of Swisscom is to leverage machine learning to optimize and automate and help the company transition to the AI era. The main project, COSMOS, consists in automating the triage of customer support e-mails. Several machine learning techniques for NLP such as Deep Learning with Keras/Tensorflow, word2vec, ensembling and k-NN are used to identify the type of inquiry of the customer and automatically redirect the e-mail to the qualified agent… Show more The goal of our team in the Innovation department of Swisscom is to leverage machine learning to optimize and automate and help the company transition to the AI era. The main project, COSMOS, consists in automating the triage of customer support e-mails. Several machine learning techniques for NLP such as Deep Learning with Keras/Tensorflow, word2vec, ensembling and k-NN are used to identify the type of inquiry of the customer and automatically redirect the e-mail to the qualified agent team. When possible, self-care solutions are automatically proposed to the customer, allowing automated problem solving. Futher projects include entity extraction for chatbots, video-upscaling using GANs, topic detection, keyphrase extraction, speech to text.

    • Switzerland
    • Pharmaceutical Manufacturing
    • 700 & Above Employee
    • Trainee at M&S Novartis
      • Mar 2011 - May 2011

Education

  • EPFL (École polytechnique fédérale de Lausanne)
    PhD, Mathematics / Scientific Computing
    2012 - 2016
  • Ecole polytechnique fédérale de Lausanne
    Master's degree, Applied Mathematics
    2009 - 2011
  • Durham University
    Bachelor's degree, Mathematics
    2008 - 2009
  • Université de Strasbourg
    Bachelor's degree, Mathematics
    2007 - 2009

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