About Vikram R
About Me
Systems architect and AI researcher
I am a systems architect and AI researcher operating at the absolute lowest levels of compute. Currently, I am the solo founder and CEO of KarLex AI, Inc. (Delaware C-Corp), where I am building the next generation of hardware-native intelligence.
To make its continuous-control reinforcement learning fast enough, I research and design custom sub-quadratic neural architectures (like MoHM) using custom NVIDIA Triton and Apple Metal hardware kernels.
Current Core Focus
- •Sub-Quadratic Foundation Models: Solving exact-recall in Linear Attention and SSMs.
- •Compute Kernels: Writing bare-metal GPU optimizations in Apple Metal, MLX, and Triton/CUDA.
- •Operating Systems (Linux/eBPF): High-performance, zero-overhead kernel manipulation and networking.
- •Reinforcement Learning: Continuous control (TD-MPC2, CrossQ) for dynamic systems.
Key Focus Areas
Sub-Quadratic Foundation Models
Compute Kernels
Operating Systems (Linux/eBPF)
Reinforcement Learning