Tech and Research | ML, Systems and backend | Ex-AI eng intern @ Startup | Ex-Quant research consult @ WQ brain
127.0.0.1
Joined February 2025
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- Following486
- Followers697
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Vector retweeted
i regret to inform you that personal growth rarely comes from acquiring new knowledge and almost always from:
-getting humiliated
-showing up terrified and doing it anyway
-admitting you might be the problem
Vector retweeted
btw we're doing weekly database paper reading sessions at @hydra_db now :)
every thursday, 4pm IST (10:30am UTC) on our discord. focusing mostly on consensus rn
if youre into distributed systems or databases, pull up to the discord (everyone's welcome) ^^
link in replies 👇
Vector retweeted
This is the least surprising graph in the world if you understand how gradient descent works.
Vector retweeted
It's here! Today I'm officially launching Yomu, an app that makes your daily reading easy.
- Bring your own blogs and articles and read them inside Yomu
- Uses your local agents (Codex, Claude, OpenCode, etc.) so you can ask any question mid-reading
- Bookmark and save an article to the Yomu folder in your browser, and it automatically appears in the app
-Upload any research paper PDF and get a stable UI for long reading sessions
-Customize the theme and make it look the way you like
And many more!
(yomu.lowkeydev.me)
Vector retweeted
The thing I learned this year is that when engineers say they like working on “hard problems”, they actually don't. What they like is puzzle solving, and having a repertoire of patterns that they can pattern match onto traditionally hard problems, usually involving databases or something with scale, etc. And they know that the industry used to pay you a lot for how deep and broad this repertoire was. Unfortunately, in 2026, well, you have a cheat code machine that has infinite breadth and depth for pattern matching. So the question is, do you actually like hard problems? Because there are now hard problems that are a complection of engineering, product, society, culture, politics, and they are fairly intractable, probably unsolvable! Because if you do want to work on those actually hard problems, there is so much money that people will pay you for it. But you’ll have to face that truth about yourself first.
Vector retweeted
the potential I see in other people isn’t real. It is a projection of what I would have done in their position.
Vector retweeted
[notes to self; pls ignore]
one thing i keep coming back to again and again is that just because it was a bad day (hell even smth as tiny as a bad exam) doesnt mean its a bad life
one thing the brain tends to do if given the chance is to start creating relationships between things even if theyre not connected just for the sake of justifying itself, and this from my own experience leads to the feeling of living a "bad life"
or if i were to summarize the entire paragraph above: the brain loves to overthink
and however its good to sit w those thoughts whatever side they may be on (positive or negative), i think you have to learn to live w them and the simplest way to do that is to just keep moving (not literally. as in just keep doing something where your brain is actually occupied)
it might help to have a hobby, to have people who care for you, to be "living the life", but i think coming to terms w these things is the best way to go about it than just suppressing them on and on
literally just sleep and youll be good lil bro
okay bye
Vector retweeted
Completed the project I've been working on for a while!
Weibo is a stream processing engine built in Go. I was inspired by Apache Flink to build this.
Let's go through the whole pipeline briefly:
Producer - The service or application that produces the data stream which eventually gets ingested into the pipeline.
Durable Store - For example, Kafka. The data is stored durably for some time, and multiple consumers can subscribe to and process it.
Operators - These are basically functions that we can run against the data stream, for example KeyBy, Filter, windows, etc.
Sink - This is the place where the processed data eventually ends up.
Each pipeline is considered a job, and every job runs inside a Docker container that can be hosted on any infrastructure.
There are many more things going on inside the architecture, like watermarks, sliding windows, checkpoints, metrics, barriers, and more.
Check out the docs website and the repo to understand how everything works in more detail!
(If you wanna use this in your product, please let me know and we can work on it together. My DMs are open!)
Vector retweeted
today im launching gheppo.
gheppo is a beautiful terminal app built in go, lipgloss, bubble tea to show your github and leetcode contributions on every terminal session startup.
this is something i'd personally use to keep track and remind me of my green boxes whenever i slack off.
shipped with 5 configurable themes (github/catppuccin/nord/mono/gruvbox), works on all three: linux/macOS/windows
run a single curl command, one time setup. thats it.
[ link in comments ]
Vector retweeted
Humility & being grounded are most important qualities a person can have
Tech skills can be learned. But character, humility & how u treat people define u
Half-baked knowledge fuels superiority-complex. The more u learn, the more u realize nothing is too complex to be proud of.
if someone doesn't have access to computers, maybe cybersec research, at least in an undergraduate level is not for them. they can stay here because even if you shower them with NVIDIA B300s and the best computers ever, they will perform worse than someone who has been hacking from a really early age.
im concerned about a whole different demographic (people like me & @datavorous_) but you are hellbent on romanticizing poverty. I have seen JEE destroying technical talent first hand and I'm concerned about it.