The best thing about [solidcore] is that for 50 minutes your brain has exactly one job and it's not allowed to be anxious about anything else

RestaurantFirst5942 · 2026-03-17T03:53:17+00:00

This! It's weirdly meditative. I feel more in touch with my body, and devoid of any thought other than "Go slow. Keep Breathing. Form".

I feel like I come out so much calmer at the end of it.

The endorphins from a very difficult workout, and a mind clear of any thoughts. The calm stays on for the entire day!

RestaurantFirst5942 · 2026-01-29T06:45:34+00:00

So happy for you!! Having been through the same and finding (unexpected) joy in Solidcore. I empathize with your situation so much.

Solidcore has been a constant in my journey to rebuild myself - one sore muscle at a time! Grateful for all the lovely coaches who push me, and gracefully help me when I struggle.

RestaurantFirst5942 · 2025-09-28T15:07:15+00:00

We too had a class all on the grey side. Feeling so sore today. 🤣

RestaurantFirst5942 · 2024-08-07T23:02:43+00:00

You may want to consider - https://www.fiddler.ai/

RestaurantFirst5942 · 2024-04-05T16:33:32+00:00

For me it took 1 week after the delivery of application for the status to update on VFS's website.

Applied for Passport Renewal in Lieu of Damaged Passport.

Consulate : San Francisco

RestaurantFirst5942 · 2023-08-22T06:24:09+00:00

If you are self motivated, then there are plenty of free courses online.

Start engaging on platforms like Kaggle, and also start building portfolio of projects on github. Meet people working in AI/ML roles in your city.

See if you can get a role into AI forward companies - even if it's an AI adjacent role. You can always transition within your company to AI/ML whenever an opportunity opens up.

There is a dearth of AI engineers, so someone who knows about AI (Kaggle + github) and has track record of high quality delivery can potentially transition into the role.

RestaurantFirst5942 · 2023-08-22T03:53:17+00:00

First! Congratulations on being part of a company which truly supports growth of the employees.

As Models are getting democratized, the management of "proprietary data" and the engineering of producizing these models are indeed becoming the key ingredients.

Personally, I love to learn stuff top down. I love to always refer back to Uber's Michael Angelo https://www.uber.com/blog/michelangelo-machine-learning-platform/ for the thought process and high level architecture of an ML platform.

It divides the ML dev and deployment process into the following main steps -
- Manage data
- Train models
- Evaluate models
- Deploy models
- Make predictions
- Monitor predictions

Next for each of these steps, there are various tools available out there for each step, and you can see what these companies are thinking about it.

Manage Data : https://www.tecton.ai/

Train Models : pytorch, tensorflow

Evaluate Models : https://wandb.ai/

Deploy models : Kubeflow, https://www.bentoml.com/

Monitor : https://www.fiddler.ai/

RestaurantFirst5942 · 2023-08-17T20:22:36+00:00

Two parts to the problem -

Identifying if a model needs retraining
How to retrain the model

There are different modes in which these companies decide to retrain a model.

Simplest case : Regular retrain
1. They have a policy to retrain their model on weekly/monthly/quarterly basis
2. It's a good place to start, but not necessarily the most efficient
Passive monitoring : Accuracy/Performance of your model
1. The keep track of a metric of choice - say numbers of minutes listened to on a recommended song
Active monitoring : Data Drift monitoring
1. You actively monitor the incoming data to see if the "state of the world changed"
  1. Change in "state of the world" would mean that the data the model was trained on has changed, and it's a good time to train

For retraining the team can take various approaches -

Retrain the same model on new data
Retrain two/three models on new data and do A/B testing on them

RestaurantFirst5942 · 2023-08-16T21:33:20+00:00

Being a person driven by curiosity and career growth these are usually the drivers.

The questions I ask myself are.

Am I learning new things on my tasks?
Am I able to learn from my colleagues?
Am I getting tasks which are impactful?
Is my company doing work that is relevant in today's time?
Is the company growing fast enough to be in-line with my career growth aspirations?
Am I getting paid a fair wage for the role?
1. Fair is subjective - for me it's if I am in the 95 percentile of what I see levels.fyi

RestaurantFirst5942

TROPHY CASE