This episode currently has no reviews.
Submit ReviewShawn Wang formerly worked in finance as a derivatives trader and equity analyst before burning out and pivoting towards tech. He's a prolific blogger who goes under the pseudonym "swyx" and recently published the excellent Coding Career Handbook. He's a graduate of Free Code Camp and Full Stack Academy now working at AWS as a Senior Developer Advocate.
Learn more about Shawn:
https://www.learninpublic.org/
Every Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine learning engineer. Sign up here: http://bitly.com/mle-newsletter
Follow Charlie on Twitter: https://twitter.com/CharlieYouAI
Subscribe to ML Engineered: https://mlengineered.com/listen
Comments? Questions? Submit them here: http://bit.ly/mle-survey
Take the Giving What We Can Pledge: https://www.givingwhatwecan.org/
Timestamps:
02:45 swyx is back!
05:25 How his book has been received so far
11:35 Why and how to negotiate your salary
24:10 Getting started in public speaking, giving talks at meetups and conferences
35:45 The role of luck in your career and how to create it
51:15 Biggest is not best, best *for me *****is best
59:20 Why swyx angel-invested in Circle
01:12:00 On Randy Pausch's Time Management lecture
01:18:00 Using open source to accelerate your coding skill
01:20:00 Handling information overload and enhancing retention with note taking
01:27:20 What swyx does in his job as a Developer Advocate and why you should consider non-coding roles
01:37:30 swyx's new podcast Career Chats (https://careerchats.transistor.fm/)
Links:
swyx's first ML Engineered appearance
swyx's book Coding Career Handbook
Shawn Wang formerly worked in finance as a derivatives trader and equity analyst before burning out and pivoting towards tech. He's a prolific blogger who goes under the pseudonym "swyx" and recently published the excellent Coding Career Handbook. He's a graduate of Free Code Camp and Full Stack Academy now working at AWS as a Senior Developer Advocate.
Learn more about Shawn:
https://www.learninpublic.org/
Every Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine learning engineer. Sign up here: http://bitly.com/mle-newsletter
Follow Charlie on Twitter: https://twitter.com/CharlieYouAI
Subscribe to ML Engineered: https://mlengineered.com/listen
Comments? Questions? Submit them here: http://bit.ly/mle-survey
Take the Giving What We Can Pledge: https://www.givingwhatwecan.org/
Timestamps:
02:45 swyx is back!
05:25 How his book has been received so far
11:35 Why and how to negotiate your salary
24:10 Getting started in public speaking, giving talks at meetups and conferences
35:45 The role of luck in your career and how to create it
51:15 Biggest is not best, best *for me *****is best
59:20 Why swyx angel-invested in Circle
01:12:00 On Randy Pausch's Time Management lecture
01:18:00 Using open source to accelerate your coding skill
01:20:00 Handling information overload and enhancing retention with note taking
01:27:20 What swyx does in his job as a Developer Advocate and why you should consider non-coding roles
01:37:30 swyx's new podcast Career Chats (https://careerchats.transistor.fm/)
Links:
swyx's first ML Engineered appearance
swyx's book Coding Career Handbook
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