Tim Resink
Senior Machine Learning Engineer @ CaptainAIHelping anyone become a proficient Data Scientist or ML engineer that can build professional ML applications!
Services
$350 / month
4 calls per month (60min/call)
Unlimited Q&A via chat
Expect responses in 24 hours or less
Hands-on support
No spots left, but you can save the mentor to your wishlist to get notified about their open spots!
One-off sessions with Tim
One-off sessions are a great option if you’re looking for specific advice on a certain topic.
Introductory Call
If you're looking for a mentor, and you're just not sure about how this all works – this one is for you. In a casual, informal introductory call, a mentor will introduce themselves, show you around the platform, explain how our mentorships work, and explain …
Resume Feedback
Having a good resume on hand when going on the job hunt is crucial, and will make your search a lot easier. Even if you're not looking for a new position right now, having an up-to-date CV that sells your experience to future potential employers …
Work Review
Not sure about your newest design? Not sure if your code is as good as it can be? Portfolio site looking a bit, meh? In this session, a mentor will sit down with you, and give you some inputs to make your work better, be …
Career Strategy
Sometimes, a strategy is needed to accomplish a future career change, or simply to get further in your current position. Should you go back to school? Look for a new job? Learn a new set of skills by yourself? Become a freelancer? One of our …
Paid Ads Review
The session is designed to help you optimize your paid advertising campaigns, such as Google Ads or Meta Ads. In this session, a marketing mentor with expertise in digital marketing and advertising will review your existing paid ads campaign, provide feedback and guidance, and offer …
Study Plan
Looking to learn a new skill? The vast amount of resources on any topic on the internet can feel overwhelming at times. A mentor can give you an overview of worthwhile content, and work with you to create a study plan. For this session, it …
Pair Programming
This session involves you and your mentor working collaboratively to develop coding skills, troubleshoot coding issues, or complete coding projects. In this session, a career coach with expertise in coding and software development will pair with you to work on a coding exercise or project. …
Expert Consultation
Whatever doesn't fit the mold: Get a full hour with a mentor to discuss your needs. Be it help with coding something, creating a software architecture, deciding on a strategy for your business or working in pairs. If you don't know whether what you want …
About
Hi there!
My name is Tim, I am an experienced (5+ years) machine learning engineer in the autonomous systems space, currently working on autonomous shipping at CaptainAI. In this capacity, I mostly develop and productionize ML models for perception (computer vision, radar), as well as building out the data platform. I have previously also worked with big data & analytics, doing for example time series forecasting and developing of cloud data warehouses and data pipelines. Over the years, I have learnt many many lessons from working in industry, both through experience and being mentored by others. The last 2 years I was involved in mentoring multiple ML engineers and learnt that that is a personal passion of mine, so I would love to see where I can help you advance your skills!
My preference is to tailor the lessons to what you want to learn and improve upon, the world is your oyster. If you are unsure what you would like to learn, here is a list of project ideas that we could work on for inspiration:
Build an ML Application:
* Develop an ML model by participating in an AICrowd or Kaggle competition.
* Optimize an existing ML model for faster inference with pytorch & onnxruntime.
* Build a REST API for your model and deploy it to AWS/GCP/Azure server(less).
* Setup a database and build a Dash dashboard around your ML model.
* Setup a vector search database with nearest neighbour search.
* Build out your home lab for MLOps / DevOps by setting up:
* A Gitlab/Github/Bitbucket account with CI/CD pipelines.
* A local Kubernetes cluster.
* Your own ML experiment tracker.
Other:
* Contribute to an open source project.
* Setup data pipeline infrastructure (Airflow, Prefect + database).
Again, feel free to fill it in as you like, suggestions are welcome.
Hope to see you!
Tim
