Created redacted PPT slides for personal sharing presentation at Universitas Padjajaran (Yogyakarta)

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Life of a ML Engineer
By Vincent Tatan

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Meet Vincent
Sr. Machine Learning Engineer
Trust & Safety

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Disclaimer
This disclaimer informs readers that the views, thoughts, and opinions
expressed in the text belong solely to the author, and not necessarily to the
author’s employer, organization, committee or other group or individual.
This article was made purely as the author’s initiatives and in no way driven by
any other hidden agenda.

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Proprietary + Confidential
Today’s Agenda
1
2
3
4
About myself
Day2Day @ Google
Machine Learning Ops Pipeline
Advice to Boost Career + Q&A

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Path to Google
Visa
Business Intelligence Intern
May 16 - Jul 16
Lazada Group
Data Scientist Intern
Dec 16 - Apr 17
B.Sc., Management Information
Systems and Services
Aug 13 - July 17
Visa
Data & Architecture
Engineer (SG)
Jun 17 - Aug 19
Google
Machine Learning Engineer
(SG & USA)
Aug 19 - Present

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Google:
Trust and
Safety
To prevent phishing @
scale with Data Analytics
and ML

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So, what do I do at Google?

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Day 2 Day @ Google

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My Life at Google...

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It’s not all about coding!

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Looking into things at scale

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Machine Learning Ops
Pipeline

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ML Pipeline
Data Collection +
Preprocessing
Model Training
and Evaluation
Machine Learning
Operations (MLOps)

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ML Ops = Data + ML Model + Dev Ops

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Data

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ML Model

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Dev Ops

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But Wait
Data + ML Model + Dev Ops + Compliance

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Advice to boost your career

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Contribute more!
Data Science expands a lot, share your knowledge
1. Read more: Keep experimenting
with your learning styles
(kinesthetic, auditory, visual)
2. Write more: Write articles and share
them!
3. Speak more: Teach your fellow
peers or any conferences out there!

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Generalize and Specialize
1. Strength: Utilize your biggest
strengths
2. Communicate: Communicate your
strength and impacts more.
3. Learn in T: SQL & Python/R are the
breadth, then domain knowledge is
your depth
Read Deep Work
Follow it to the T

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Smile!
Data Science is Fun
1. Play: Tough, so have fun.
2. Hack: Use Saturdays to learn with
friends.
3. Celebrate impacts: Data science is
about building impacts. Start small
and celebrate!

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Advice to
boost your
career
1. Contribute more
2. Specialize in skills,
generalize in soft domain
3. Have fun!

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https://bit.ly/2rBUP0Y https://bit.ly/3Io8PgR

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Reach out to me :)
Medium : towardsdatascience.com/@vincentkernn
Linkedin : linkedin.com/in/vincenttatan/
Survey: tiny.cc/vincent-survey
For referrals, Please reach out on linkedin.
Any questions?