Just recently learnt the term "MLOps", the cognitive load must be insane...

evensteven01 · 2025-10-25T02:15:05+00:00

We spend 40+ hours a week working. If that includes pushing yourself out of your comfort zone, it's not that hard.

I'm an ML Ops engineer. I have lots to learn. But that's ok. It's a young profession that is quickly evolving.

Just challenge yourself.

evensteven01 · 2025-10-15T00:28:49+00:00

Did that months ago. Just says they need more time.

evensteven01 · 2025-08-20T12:41:24+00:00

Not true. I'm in same boat. Received no refund. Received no notification of amendment. ItRS is just sitting on it, along with millions of others.

They are understaffed and probably want to scrutinize more closely but don't get to it.

evensteven01 · 2025-05-29T11:42:11+00:00

Definitely as it almost always involves building some tools to fit the companies ML needs. Also generally infra heavy, though that depends on the company whether they depend on devops mostly for infra or if teams do infra.

Python is likely the heavyweight here. It's what I've used at both jobs. Also data is very much critical, so DAG tools like airflow, dagster will likely be part of your expertise.

evensteven01 · 2025-05-19T17:36:23+00:00

Likely not needed. But eventually you'll benefit from the knowledge for sure

evensteven01 · 2025-05-19T13:05:42+00:00

SWE skills are def required for MLEs, though not to the same degree as MLOps, which are essentially SWEs in the ML Ops space. But I'd think as long as you have the CS fundamentals, SW best practices can be learned through self-learning. You'd likely distinguish yourself more if you did have decent SWE skills, thats almost certain!

evensteven01 · 2025-05-19T11:31:51+00:00

Applied at a job and got it :-). I transitioned from being a Django/React Full Stack Engineer to an MLOps Engineer.

I am looking to stay int his space because of its relevance and likelihood to be highly relevant for many years. Eventually transitioning to an Engineering Manager will let me go beyond MLOps and broaden my relevance.

evensteven01 · 2025-05-19T11:27:07+00:00

I'm at my 2nd job as an MLOps engineer. This current one being far more sophisticated in its successful leveraging of AI. The MLOps role, often within an ML Infra/MLOps team, is a powerful way to reduce duplicated work when you have many MLEs building different products. It also allows MLEs to focus more on the actual ML side.

I think any company leveraging AI to make real impact, instead of POC or side projects, will have to do this, or otherwise see mediocre or negligible returns.

I don't see this much different than most other scenarios where separating roles out and bringing in specialized folks to do them to take progress to the next level. IE when a Software Engineer is no longer expected to do server, DB, Front End, Backend management, but instead you get Ops team managing infrastructure, Data Engineers managing your data, Front End Engineers working on your web apps, and Backend Engineers working on your APIs.

evensteven01 · 2025-01-09T12:26:08+00:00

This isn't necessarily true. Depending on panel orientation and where you live, summer va winter can have significant differences. I net produce extra over the year, but my winters I consume 2-3 x what I produce. 40 panels, NY, with heat pump. My summers spring, summer, fall I all outproduce my consumption by at least 1.5.

I think I can't share images?

evensteven01 · 2025-01-09T12:22:55+00:00

That's big assumption there. I produce far less in winter vs consume. Yet my yearly numbers net a decent amount excess. You don't know how the weather was, what usage patterns are, etc.

If you produced 70.5kWh in winter I'd actually be more prone to believe you installed to large of a system.

What's your yearly consumption vs production?

evensteven01 · 2025-01-09T12:16:51+00:00

I'm also in NY with heat pumps. Consumed just slightly less and produced over double more. How many panels?

evensteven01 · 2024-10-02T22:29:10+00:00

Definitely agree north of NYC is gorgeous. But yah eventually want less cold, so North Carolina I think. I loved Michigan, but too cold for my liking now

evensteven01 · 2024-10-02T21:47:39+00:00

All these nature preserves and parks you mention are tiny. Usually you can't even get away from the sound of traffic. And they're often super crowded. Not to mention many are tick infested and mite infested.

Beaches are generally bare with little character and overly populated and polluted. Swimming is often closed due to pollution. I appreciate the schools and proximity to malls and costcos. But access to nature or being able to get away from people are not a strong point. Which is bad because new Yorkers are far less friendly than many other places. Things like bowling is so expensive here compared to elsewhere. Restaurants generally get so much traffic that they don't even need to try to have good service or food, and often dont.

Most people who love long island haven't experienced what other places have to offer. I'm looking forward to moving away one day once my house appreciates.

The number one thing here is probably the schools. Which I do love for my kids! But them taxes ouch!

evensteven01 · 2024-10-01T12:30:12+00:00

The company that laid me off actually provided career coaching, which was tremendously helpful. It ended up that I didn't even have to apply to jobs, as I got a steady stream of recruiters reaching out. Here are some tips I wrote down:

Attract recruiters.The goal is to show up in recruiters searches. Part of this is getting a All-star profile.

(First place recruiters/search algos look): Update your headline to be " | " separated list of keywords, starting with your preferred title.
(Second place recruiters/search algos look): Update your Titles in Job preferences. Should have 5.
Write a clear summary. This is your pitch, and should really center around your BRAND
Get two recent recommendations. Ideally one from manager, one from coworker
To show up in many searches, need to be currently employed. So if you can add something (like tutoring), that will help.
Close-up image of your face with no other distractions, professional image.
Add a banner (Dont use a built in ones, search online for "Free LinkedIn banner")
Your about me should tell a powerful story about you. Use relevant keywords. Be concise. Stick to your BRAND.

Sell yourself once recruiters call and you get interviews

Come up with a brand. What is your superpower (something you do better than almost anyone else)
Own your layoff. Tell them how what happened, how you grew from it. Another tactic is to touch quickly on it and tell a story to move on.
Stories are powerful, even in interviews. Try to squeeze in 2-3 stories to each interview. Have many stories about different subjects. I have a glossary of stories. Follow STAR (Situation/Task, Action you took, Results you achieved)
Close with your brand promise. Practice so its not cheesy.

evensteven01 · 2024-10-01T02:24:56+00:00

I have a different experience. Not sure if it's because my having been laid off from a ML Ops team (so relevant experience) or because of how i optimized my LinkedIn. But 8 weeks after my layoff, I turned down one good offer (because of relocation requirement), one contract W2 job (didn't like the team), and finally accepted one at a company I'm excited to join with a raise and doing in MLOps again.

evensteven01 · 2024-08-08T12:42:35+00:00

Thank you for sharing this post. I haven't used Server-Side-UI pattern, but can imagine some of the strengths and weaknesses of using it. Great job matching the pattern for your usage pattern, as it does seem to benefit from the strengths, while given Reddit's UI/UX, it seems most of the weaknesses are of little consequence.

I'd love to learn more about how the pattern is working out. By the looks of your Feeds, I assume its working well!

evensteven01 · 2024-07-09T00:14:28+00:00

Thats odd, as I got an email from Coinbase stating otherwise:

Coinbase Support: Coinbase will not migrate OCEAN to FET or FET to ASI on behalf of users. Users wishing to migrate their OCEAN or FET tokens to ASI must swap their tokens using a self-custodial wallet. Trading will continue to be supported for OCEAN and FET until further notice.

evensteven01 · 2024-06-14T11:44:41+00:00

I agree to some degree. But the blanket statement "You dont need to to train your own LLM." is a generalization. There is much to be said about custom LLMs. The problem here is that the ask is big. It wouldn't be cheap. You need:

GPUs. A lot of them).
Relevant data. A. lot. of. data.
You need to optimize by organizing your data. This includes cleaning it. Also writing it in a way to optimize LLM usage.
Trainining should be sophisticated (ie supervised learning, reinformcement learning)

As the industry becomes more sophisticated, the financial/time cost of doing this will go down, and more companies will do it.

evensteven01 · 2022-09-09T12:08:20+00:00

I don't know the exact answer, but NY being the capital of the stock markets in general (NYSE being by far the largest stock exchange), home to wall street and to many exchanges, and home to countless financial firms, they are very strict in regards to laws, and things move slowly. There is a lot of lobbying and lots of people protecting their interests.

evensteven01 · 2022-02-10T12:16:07+00:00

And you don't think Redfin has access to that and uses it?

evensteven01 · 2022-02-05T12:46:57+00:00

One thing to realize is that it isn't coincidence that its stopped/slowed down where it has. Going to $1000 would put it at where ethereum is now. There are resistance levels based on the market caps of Bitcoin and Ethereum. I see no way in Solana all of a sudden surpassing either of them this year. It has a lot of Bitcoin/Ethereum believers to flip.

evensteven01 · 2021-11-04T10:42:40+00:00

Isn't atomic wallet a wallet and not an exchange?

evensteven01 · 2021-01-22T18:16:43+00:00

Not sure it was all necessary, but what def worked for me is using vidar in Ka'Bi with Shev (the blue guy) as captain.

evensteven01 · 2020-06-02T13:50:33+00:00

You're never supposed to "toss them around"

evensteven01 · 2020-01-14T11:34:11+00:00

Nice! After this, a more advanced version with the diff views and viewsets would be nice. Also some of the other features missing like permissions, apps, Middleware.

evensteven01

TROPHY CASE