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Matthew Kelcey – Former Research Engineer at Google Brain #114

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Manage episode 279512920 series 2565702
Conteúdo fornecido por Grant Ingersoll. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Grant Ingersoll ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

Welcome to another episode of Develomentor. Today's guest is Matthew Kelcey
Mat works part time at ThoughtWorks where he is the Principal Consultant for Machine Learning in Australia. He divides the rest of his time between advisory / mentoring work for early stage companies as well as maintaining his small farm.

Prior to ThoughtWorks, Mat was a senior research engineer in the Google Brain team where he worked across robotics & natural language understanding. Mat has held a mix of roles across his 20 year career ranging from machine learning research to engineering for large scale distributed systems; in both internet scale companies (such as Google & Amazon) as well as startups (such as Distra & Wavii)

If you are enjoying our content please leave us a rating and review or consider supporting us

A note from Grant

Mat Kelcey is our first guest to join us from Australia where he resides on his farm near Melbourne. Mat has built a career over the years that has spanned the globe, spanned a number of industries and spanned a number of topics. Over the years, he’s stayed deeply focused on doing technical work, holding down titles like software engineer and senior software engineer.

Mat has worked in search, machine learning, big data and deep learning for the likes of Sensis in Australia, Wavii, Google, Lonely Planet, Amazon AWS and these days Thought Works. He’s also a prolific blogger and open source contributor who regularly shares his experiments and ideas in machine learning with the world. Please stay tuned as we connect halfway around the world with Mat Kelcey and hear his journey through the tech world.

-Grant Ingersoll

Key Milestones

  1. Matt started work on artificial intelligence and machine learning back in the AI winter. What inspired Matt to get a degree in AI at University?
  2. Throughout his career Matt somehow avoided management. Was this intentional?
  3. Matt worked specifically on the Google Brain team as a research engineer. What was that experience like?
  4. When did Matt have imposter syndrome throughout his career?

Additional Resources

Check out Matt’s Medium articles – https://medium.com/@alyjuma/the-regret-minimization-framework-how-jeff-bezos-made-decisions-4d5a86deaf24

Matt’s personal blog – http://matpalm.com/blog/

You can find more resources in the show notes
To learn more about our podcast go to https://develomentor.com/
To listen to previous episodes go to https://develomentor.com/blog/
Connect with Matt Kelcey
LinkedIn
Twitter
GitHub
Blog

Connect with Grant Ingersoll
LinkedIn
Twitter

Support the show

  continue reading

140 episódios

Artwork
iconCompartilhar
 
Manage episode 279512920 series 2565702
Conteúdo fornecido por Grant Ingersoll. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Grant Ingersoll ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

Welcome to another episode of Develomentor. Today's guest is Matthew Kelcey
Mat works part time at ThoughtWorks where he is the Principal Consultant for Machine Learning in Australia. He divides the rest of his time between advisory / mentoring work for early stage companies as well as maintaining his small farm.

Prior to ThoughtWorks, Mat was a senior research engineer in the Google Brain team where he worked across robotics & natural language understanding. Mat has held a mix of roles across his 20 year career ranging from machine learning research to engineering for large scale distributed systems; in both internet scale companies (such as Google & Amazon) as well as startups (such as Distra & Wavii)

If you are enjoying our content please leave us a rating and review or consider supporting us

A note from Grant

Mat Kelcey is our first guest to join us from Australia where he resides on his farm near Melbourne. Mat has built a career over the years that has spanned the globe, spanned a number of industries and spanned a number of topics. Over the years, he’s stayed deeply focused on doing technical work, holding down titles like software engineer and senior software engineer.

Mat has worked in search, machine learning, big data and deep learning for the likes of Sensis in Australia, Wavii, Google, Lonely Planet, Amazon AWS and these days Thought Works. He’s also a prolific blogger and open source contributor who regularly shares his experiments and ideas in machine learning with the world. Please stay tuned as we connect halfway around the world with Mat Kelcey and hear his journey through the tech world.

-Grant Ingersoll

Key Milestones

  1. Matt started work on artificial intelligence and machine learning back in the AI winter. What inspired Matt to get a degree in AI at University?
  2. Throughout his career Matt somehow avoided management. Was this intentional?
  3. Matt worked specifically on the Google Brain team as a research engineer. What was that experience like?
  4. When did Matt have imposter syndrome throughout his career?

Additional Resources

Check out Matt’s Medium articles – https://medium.com/@alyjuma/the-regret-minimization-framework-how-jeff-bezos-made-decisions-4d5a86deaf24

Matt’s personal blog – http://matpalm.com/blog/

You can find more resources in the show notes
To learn more about our podcast go to https://develomentor.com/
To listen to previous episodes go to https://develomentor.com/blog/
Connect with Matt Kelcey
LinkedIn
Twitter
GitHub
Blog

Connect with Grant Ingersoll
LinkedIn
Twitter

Support the show

  continue reading

140 episódios

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