Hi, I’m Akhil#
I studied Electrical Engineering with minors in Math and Physics at Rutgers University, where I focused on signal processing, digital design, and embedded systems.
I then did my Master’s in Computer Science at Cornell University, specializing in machine learning. There, I developed and deployed both vision and language models while also studying representation learning, optimization techniqiues, and theoretical foundations of modern AI systems.
I’m currenlty a new grad ml infra engineer @ a Fortune 500.
I’ve previously interned at Johnson & Johnson (Risk Technology), JPMorgan Chase (Asset & Wealth Management), Crewcial Partners, Herbert J. Sims, and Clifford Beers Clinic.
I’ve also done research in image noise reductions using VAEs (variational autoencoders), auto-labeling for supervised learning, and animal movement tracking under various environments using computer vision.
I started this blog to write about software, machine learning, crypto, and some personal thoughts I have.
→ Read my posts
In the coming years, I have a feeling that Robotaxi is going to scale like Uber whereas Waymo will scale like Lyft (if even that)
...
I’ve trained hundreds of models in school and on my own, but less than 5% of them have been pushed to production
...
Divergence, drift, jail-breaking, and the incoming feature stream flipping almost instantly can silently kill a model in production.
...
AlphaGo blew my mind and AlphaGoZero was the cherry on top. Recreating this in a simple environment was a long term dream of mine
...
In my opinion, nothing is more parallelizable than Attention and beating that ability is an uphill battle. Mamba (or similar architectures) just aren’t doing that yet
...
Everyone knows that models can speak really well now (GPT4o, LLama3, etc.) but few recognize the capabilities of how good the vision models are nowadays
...
Everyone knows that models can speak really well now (GPT4o, LLama3, etc.) but few recognize the capabilities of how good the vision models are nowadays
...
Attention is really cool and useful, what just like any great invention, there were some problems people were facing and it was made out of that. In this post, I aim to dive into what birthed attention
...
I’ve been debating whether it’s a smart idea to slowly DCA into BTC/ETH and if that will ever pay off in the future. I want to see if crypto actually has a chance down the line
...
VAEs were my own introduction to machine learning and I was beyond confused how regression becomes this down the line; I want to dive into exactly that - going from approximating slope to representations.
...