π€ AI Engineer | π§ Pattern Hunter | βοΈ Tinkerer
Philomath with an unhealthy curiosity π¬
Currently debugging reality...
Fellow at NxtWaveβs CCBP 4.0 Academy
@nitsiecoree Starting the day with a presentation takes some preparation and confidence. Love the consistency and the way you're putting yourself out there. Keep going!
AI is learning to predict how things smell. π
Google explored molecular odor prediction in 2022.
By 2025, researchers were applying deep learning to mixtures of aroma chemicals.
In 2026, Yale-led research explored predicting how humans perceive complex scent mixtures.
From molecules to complex smells. Fascinating progress!
#AI #MachineLearning #AIResearch
Every company has its visionary, designer, and engineer.
But Linux? It seems to have all three personalities in one place. π
Linus Torvalds is a different breed. Built the Linux kernel, gave the world one of the most influential pieces of open-source software, and somehow became the ultimate representation of the quiet, no-nonsense engineer.
No flashy marketing. No unnecessary drama. Just code, engineering, and an entire ecosystem powering the modern world.
Linux doesn't need to be loud. It just needs to work. π
#Linux #LinusTorvalds #OpenSource #SoftwareEngineering #TechMemes #Developers #Programming #Engineering
Recently, I've been researching the AI ecosystem and exploring what it actually takes to grow as an AI Engineer.
One concept I found interesting is the T-shaped skill model.
Understand the broader AI landscape, explore its different branches, and then go deep into one or two specializations.
Breadth gives you perspective. Depth builds expertise.
Sharing my research for anyone on a similar journey.
#AI #MachineLearning #AIEngineering
@nitsiecoree Happy 21st birthday, Nishtha! π₯³πβ¨ Hope this year brings you lots of happiness, exciting adventures, and everything you're wishing for. Keep that bubbly energy alive!
@zarathuztra_@codewith55 Go create engage in random controversies, you don't even have the ability to use common sense, read and understand a single thing.
I used to ask myself the same thing: βDo we still need DSA when AI can code?β
Then I started learning AI/ML seriously and realized - AI itself is built on algorithms and data structures.
You can use AI without DSA, but understanding whatβs actually happening underneath? Thatβs different.