Vladimir Iglovikov's guest appearances

Vladimir Iglovikov

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Subscribe to my newsletter here: https://tinyletter.com/sanyambhutani/ Video of the interview is available here: https://youtu.be/P7vUzcySzkM  Previous Blog Interview: https://medium.com/dsnet/interview-with-kaggle-grandmaster-senior-cv-engineer-at-lyft-dr-vladimir-i-iglovikov-9938e1fc7c  Albumentations Framework: https://github.com/albu/albumentations Albumentations is a fast image augmentation library and easy to use wrapper around other libraries by Alexander Buslaev, Alex Parinov, Vladimir I. Iglovikov, Evegene Khvedchenya.  In this Episode, Sanyam Bhutani interviews Dr. Vladimir Iglovikov for the second time. They talk about albumentations, image augmentations and contributing to open source.   Follow: Dr. Vladimir Iglovikov https://twitter.com/viglovikov https://www.linkedin.com/in/iglovikov/ https://www.kaggle.com/iglovikov  Sanyam Bhutani:  https://twitter.com/bhutanisanyam1 https://www.linkedin.com/in/sanyambhutani/ https://www.kaggle.com/init27/ About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers &amp; Researchers and all things Data Science hosted by Sanyam Bhutani.   You can expect weekly episodes every available as Video, Podcast, and blogposts.  If you'd like to support the podcast: https://www.patreon.com/chaitimedatascience

Subscribe to my newsletter here: <a href="https://tinyletter.com/sanyambhutani/" rel="nofollow" target="_blank">https://tinyletter.com/sanyambhutani/</a> Video of the interview is available here: <a href="https://anchor.fm/chaitimedatascience" rel="nofollow" target="_blank">https://youtu.be/P7vUzcySzkM</a> Previous Blog Interview: <a href="https://medium.com/dsnet/interview-with-kaggle-grandmaster-senior-cv-engineer-at-lyft-dr-vladimir-i-iglovikov-9938e1fc7c" rel="nofollow" target="_blank">https://medium.com/dsnet/interview-with-kaggle-grandmaster-senior-cv-engineer-at-lyft-dr-vladimir-i-iglovikov-9938e1fc7c</a> Albumentations Framework: <a href="https://github.com/albu/albumentations" rel="nofollow" target="_blank">https://github.com/albu/albumentations</a> Albumentations is a fast image augmentation library and easy to use wrapper around other libraries by Alexander Buslaev, Alex Parinov, Vladimir I. Iglovikov, Evegene Khvedchenya. In this Episode, Sanyam Bhutani interviews Dr. Vladimir Iglovikov for the second time. They talk about albumentations, image augmentations and contributing to open source.  Follow: Dr. Vladimir Iglovikov <a href="https://twitter.com/viglovikov" rel="nofollow" target="_blank">https://twitter.com/viglovikov</a> <a href="https://www.linkedin.com/in/iglovikov/" rel="nofollow" target="_blank">https://www.linkedin.com/in/iglovikov/</a> <a href="https://www.kaggle.com/iglovikov" rel="nofollow" target="_blank">https://www.kaggle.com/iglovikov</a> Sanyam Bhutani:  <a href="https://twitter.com/bhutanisanyam1" rel="nofollow" target="_blank">https://twitter.com/bhutanisanyam1</a> <a href="https://www.linkedin.com/in/sanyambhutani/" rel="nofollow" target="_blank">https://www.linkedin.com/in/sanyambhutani/</a> <a href="https://www.kaggle.com/init27/" rel="nofollow" target="_blank">https://www.kaggle.com/init27/</a> About: <a href="http://chaitimedatascience.com/" rel="nofollow" target="_blank">http://chaitimedatascience.com/</a> A show for Interviews with Practitioners, Kagglers &amp; Researchers and all things Data Science hosted by Sanyam Bhutani.  You can expect weekly episodes every available as Video, Podcast, and blogposts. If you'd like to support the podcast: <a href="https://www.patreon.com/chaitimedatascience" rel="nofollow" target="_blank">https://www.patreon.com/chaitimedatascience</a>

Albumentations Framework: a fast image augmentations library | Interview with Dr. Vladimir Iglovikov

Vladimir Iglovikov graduated from university with a degree in theoretical physics, he moved to Silicon Valley in search of a data science role in the industry. This led him to his current position in Lyft’s autonomous vehicle division where he works on computer vision related applications. In the past few years, he has invested a lot of time in Machine Learning competitions leading to his title of Kaggle Grandmaster. In this episode, Vladimir explains how difficult it was to find work in Silicon Valley. He had harsh requirements for a salary, no one looked at his resume. Companies in Silicon Valley are willing to pay big bucks, but at the same time, they require the person to be skilled in software engineering, machine learning, and statistics. His biggest issue when applying for jobs was assuming that all people are similar to the people in academics. At his interviews, he felt no connection with the interviewers. After sending his resume to over 200 different companies, someone finally bit just before his visa expired. Vladimir worked at Bidgely for 8 months then moved to TrueAccord and eventually got his job at Lyft.  Enjoy the show!  We speak about:  [02:00] How Vladimir started in the data space [12:30] Transferring from academia to industry  [21:40] Benefits of having soft skills    [25:45] How Vladimir manages stress  [31:30] Kaggle is like lifting weights  [35:30] The hiring process for data scientists   [40:45] Excitement for machine learning  [46:00] Autonomous driving    [47:55] Pursuing a startup [51:40] Aiming to maximize mistakes in a day  [61:00] Social life comes first    Resources: Vladimir’s LinkedIn: https://www.linkedin.com/in/iglovikov/ Kaggle: https://www.kaggle.com/iglovikov  Now you can support Data Futurology on Patreon!   https://www.patreon.com/datafuturology  Thank you to our sponsors:  UNSW Master of Data Science Online: studyonline.unsw.edu.au  Datasource Services: datasourceservices.com.au or email Will Howard on will@datasourceservices.com.au  Fyrebox - Make Your Own Quiz!  And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. Thank you so much for listening. Enjoy the show!      ---   Send in a voice message: https://podcasters.spotify.com/pod/show/datafuturology/message

Vladimir Iglovikov graduated from university with a degree in theoretical physics, he moved to Silicon Valley in search of a data science role in the industry. This led him to his current position in Lyft’s autonomous vehicle division where he works on computer vision related applications. In the past few years, he has invested a lot of time in Machine Learning competitions leading to his title of Kaggle Grandmaster. In this episode, Vladimir explains how difficult it was to find work in Silicon Valley. He had harsh requirements for a salary, no one looked at his resume. Companies in Silicon Valley are willing to pay big bucks, but at the same time, they require the person to be skilled in software engineering, machine learning, and statistics. His biggest issue when applying for jobs was assuming that all people are similar to the people in academics. At his interviews, he felt no connection with the interviewers. After sending his resume to over 200 different companies, someone finally bit just before his visa expired. Vladimir worked at Bidgely for 8 months then moved to TrueAccord and eventually got his job at Lyft.  Enjoy the show! We speak about: <ul> <li>[02:00] How Vladimir started in the data space</li> <li>[12:30] Transferring from academia to industry </li> <li>[21:40] Benefits of having soft skills   </li> <li>[25:45] How Vladimir manages stress </li> <li>[31:30] Kaggle is like lifting weights </li> <li>[35:30] The hiring process for data scientists  </li> <li>[40:45] Excitement for machine learning </li> <li>[46:00] Autonomous driving   </li> <li>[47:55] Pursuing a startup</li> <li>[51:40] Aiming to maximize mistakes in a day </li> <li>[61:00] Social life comes first </li> </ul> Resources: Vladimir’s LinkedIn: <a href="https://www.linkedin.com/in/iglovikov/" rel="nofollow" target="_blank">https://www.linkedin.com/in/iglovikov/</a> Kaggle: <a href="https://www.kaggle.com/iglovikov" rel="nofollow" target="_blank">https://www.kaggle.com/iglovikov</a> Now you can support Data Futurology on Patreon!   <a href="https://www.patreon.com/datafuturology" rel="nofollow" target="_blank">https://www.patreon.com/datafuturology </a> Thank you to our sponsors:  UNSW Master of Data Science Online:<a href="https://studyonline.unsw.edu.au/" rel="nofollow" target="_blank"> studyonline.unsw.edu.au</a> Datasource Services:<a href="http://www.datasourceservices.com.au/" rel="nofollow" target="_blank"> datasourceservices.com.au</a> or email Will Howard on will@datasourceservices.com.au  <a href="https://www.fyrebox.com/" rel="nofollow" target="_blank">Fyrebox</a> - Make Your Own Quiz! And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. Thank you so much for listening. Enjoy the show! --- Send in a voice message: <a href="https://podcasters.spotify.com/pod/show/datafuturology/message" rel="nofollow" target="_blank">https://podcasters.spotify.com/pod/show/datafuturology/message</a>

#60 Building Self-Driving Cars in Silicon Valley with Vladimir Iglovikov, Ph.D. –  Senior Computer Vision Engineer and Kaggle Grandmaster