Ask me
  • Machine Learning engineering at large scale.
  • Natural Language Understanding models
  • Software engineering
Introduction
  • Experienced leader in machine learning engineering, currently working on large scale machine learning projects at Google.
Experience
  • Google, tech lead in machine learning 2019 -
  • Vertex fund, investor 2020 -
  • Unqork, investor, 2020 -
  • Walmart Labs, Principal Engineer/Manager, 2016 - 2019.
  • Amazon, ML/Data engineering, 2011 - 2013
Education
  • B.S. University of Wisconsin.
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Mock interview with Timothy Wee

4 services

Introduction

Before heading into a real software engineering interview: whether it is a phone screen, or during a final round.

It is crucial you have bug-free code developed in a short period of time.

The best way to achieve a bug-free code is through rigorous mock interviews.

How it works

Our mentors have done hundreds or thousands of real interviews at top tech companies such as Google, Facebook, Apple, Amazon, they will emulate a real job interview process when your mock interview is conducted.

You will have a conversation that resembles a real interview as closely as possible, in the end, you will also have the opportunity to receive feedback from your mentor.

What you will get

Gain a simulated interview experience to get a feel of how it works.

Get over nervousness after you've done a few mock interview practices.

Valuable feedbacks during and after the mock interview provided by your mentor.

Become confident and get familiar with the interview process.

How it's conducted

You will be asked a series of coding questions (mostly based on data structures and algorithms) customized towards your dream company, please make sure you share the job descriptions with your mentor, so the questions can be customized towards your dream job.

And you will be writing code in a browser where your mentor can see your coding in real-time. 

A link to access the code editor will be provided before or at the beginning of the interview process.

 

Practice makes dream offers! Let's book your Software Engineer Mock Interview today!

Tell your mentor what programming languages you would like to use (e.g., Python, Java, C++) when you book this session.

View Timothy Wee's Calender and schedule a 1:1 meeting after your payment, securely processed by Stripe, fully refundable if canceled 24 hours before the meeting.

⏰ Algorithm | Data Structure with Timothy Wee for $299

Data modeling is often asked for data engineer, data warehouse architect, or software engineer positions.

Good data modeling is essential for a consistent, efficient, bug-free, and long-lived data environment.

Make sure you are super familiar with concepts such as Dimensional   Modeling Star  Schema,  Snow-Flaked  Schema.

It’s possible to solve any given data request in an almost limitless number of ways, but when data needs to be extensible and maintainable throughout the systems, a good data model is critical to success. When it comes to handling a business requirement with an ability to handle large data,  a  deeper understanding of normalized  (Third  Normal  Form)  and denormalized design.

View Timothy Wee's Calender and schedule a 1:1 meeting after your payment, securely processed by Stripe, fully refundable if canceled 24 hours before the meeting.

⏰ Data Modeling with Timothy Wee for $299

 

Machine learning-related roles, including Research Scientist (Amazon, Google), Data Scientist / Algorithm (Facebook), and Machine Learning Engineers, are highly paid. Super fun often involves working with state-of-the-art algorithms.

The hiring process could be highly competitive. Not only will you be asked to be an excellent programmer (easy, medium levels of algorithm questions for sure), but you also need to know machine learning theories and experiences such as model parameter fine-tuning.

You will want to brush up on your machine learning skills if you want to succeed in a data science interview. A good place to start is with Andrew Ng's Coursera Machine Learning course.

You may also be asked topics such as CNN, NLP, reinforcement learning, computer vision, depends on the specific roles.

Deep Learning, The topic of deep learning, is in high demand in the data science world, and it is one of the key things that you want to brush up on if you are interested in pursuing a career in data science. There are a couple of good courses that you can check out, like Stanford's CS231n course.

Natural Language Processing (NLP) is an area in data science that is in high demand and will only become more so as we move further into the 21st century. NLP allows us to analyze text, whether spoken or written and derive useful information from it. If you want to be a successful data scientist, you want to work with NLP. This is a great area to pursue as a side project.

 

 


“Machine learning expert at the world's most famous AI company.”


View Timothy Wee's Calender and schedule a 1:1 meeting after your payment, securely processed by Stripe, fully refundable if canceled 24 hours before the meeting.

⏰ Machine Learning with Timothy Wee for $299

System design questions are commonly asked during software engineer and data engineer interviews.

When interviewing at top technology companies, very often you will demonstrate your skills and abilities to convert a prototype into a large-scale, internet application.

System design takes many years of real work experience to be really good at it, and to a large degree, your performance in system design can determine your 'seniority' or 'levels' for your overall offer package.

View Timothy Wee's Calender and schedule a 1:1 meeting after your payment, securely processed by Stripe, fully refundable if canceled 24 hours before the meeting.

⏰ System Design with Timothy Wee for $299

Career services by Timothy Wee

3 services

Career planning is the most important thing to do for your career.

Whether you are looking to switch to a different career track, e.g., data scientist => product manager.

Or simply want to gain more visibility inside of your company, moving up the career ladder, you need an experienced mentor who had been there and done that.

Get practical advice on job search, career growth, pros n cons of different career paths to make the best decision.

View Timothy Wee's Calender and schedule a 1:1 meeting after your payment, securely processed by Stripe, fully refundable if canceled 24 hours before the meeting.

⏰ Career advice with Timothy Wee for $299

If you can't find exactly the service you are looking for: you can spend an hour with a mentor and asked their questions. 

How did you get where you are today?

Should I quit my job today?

Which area in machine learning should I be focused on? Image processing or natural language processing?

How to build a modern machine learning engineering team from scratch?

Anything you think our mentors can help you.

View Timothy Wee's Calender and schedule a 1:1 meeting after your payment, securely processed by Stripe, fully refundable if canceled 24 hours before the meeting.

⏰ General consulting with Timothy Wee for $199

If you are wondering if machine learning can help with your business use case, or wanted to utilize machine learning but not quite sure where to get started? Or wanted to switch to a machine learning career.

Why not spend some time and validate your idea from the world-class ML expert on instamentor.com?

View Timothy Wee's Calender and schedule a 1:1 meeting after your payment, securely processed by Stripe, fully refundable if canceled 24 hours before the meeting.

⏰ Machine Learning Consulting with Timothy Wee for $199