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56. Career Lessons Learned after Working with Microsoft, Instacart, and Google with Sai Teja Chava
Host Ryan Atkinson sits down with Sai Teja Chava, a machine learning engineer with an impressive track record at industry giants like Google, Microsoft, and now Instacart. We dive into Sai's journey from childhood curiosities to tech industry success, discussing the importance of continuous learning, practical experience, and approaching interviews with a problem-solving mindset. Sai shares invaluable insights for aspiring tech professionals, touching on the nuances of interview preparation, the value of internships, and the benefits of having a rich GitHub profile and LinkedIn presence. Tune in to this episode to learn how to stand out in the competitive tech job market and what traits make a machine learning engineer truly exceptional.
Time Stamps:
00:00 Limited access to computer led to interest.
05:48 Struggled to get into machine learning field.
07:55 Internship and profile listings led to Microsoft.
12:22 Certifications help build intuition for solving problems.
15:13 Entry-level interviews focus on system and ML design. Senior-level interviews cover various algorithms and approaches.
19:20 New grad doesn't focus on leadership questions.
22:41 Humble, skilled engineers make me feel small.
26:09 Math and stats degrees help as ML engineers.
28:28 Active on LinkedIn, responsive, open to opportunities.
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By TechGuideHost Ryan Atkinson sits down with Sai Teja Chava, a machine learning engineer with an impressive track record at industry giants like Google, Microsoft, and now Instacart. We dive into Sai's journey from childhood curiosities to tech industry success, discussing the importance of continuous learning, practical experience, and approaching interviews with a problem-solving mindset. Sai shares invaluable insights for aspiring tech professionals, touching on the nuances of interview preparation, the value of internships, and the benefits of having a rich GitHub profile and LinkedIn presence. Tune in to this episode to learn how to stand out in the competitive tech job market and what traits make a machine learning engineer truly exceptional.
Time Stamps:
00:00 Limited access to computer led to interest.
05:48 Struggled to get into machine learning field.
07:55 Internship and profile listings led to Microsoft.
12:22 Certifications help build intuition for solving problems.
15:13 Entry-level interviews focus on system and ML design. Senior-level interviews cover various algorithms and approaches.
19:20 New grad doesn't focus on leadership questions.
22:41 Humble, skilled engineers make me feel small.
26:09 Math and stats degrees help as ML engineers.
28:28 Active on LinkedIn, responsive, open to opportunities.