Aakarsh Kashyap

About

I am Aakarsh Kashyap. I am reading for the degree of B.Tech in Computer Science and Engineering at GLA University, concurrently with a B.S. in Data Science and Artificial Intelligence from IIT Madras.

My practice centres on low-level systems engineering — GPU compute, compiler infrastructure, operating systems, and runtime development. I work principally in C++, x86-64 assembly, and CUDA, with production experience in Go and Python across backend and distributed systems.

I maintain soft-cuda, a hybrid CPU/GPU ahead-of-time deep-learning framework with a three-pass compiler, a bump allocator, and a lazy evaluation directed acyclic graph. The hybrid dispatch model yields a 35-percent throughput improvement over the GPU-only baseline, measured at 0.94 ms per step against 1.44 ms per step for the reference configuration.

I intend to practise in GPU compute or graphics engineering, as professional work.

The personal universe is at chaldea.moe.

Skills

• languages: C / C++, Go, Python, x86-64 ASM, CUDA, SQL
• systems: OS internals, memory allocators, POSIX APIs, IPC, syscall interface
• GPU / HPC: CUDA kernel programming, CUDA streams, cuBLAS, cuDNN, SGEMM, double buffering
• backend: REST, scatter-gather, write-through cache, JWT, Argon2id, RBAC, webhook verification
• tooling: Git, Docker, CMake, Make, GDB, Neovim, Arch Linux

Correspondence

Available for internship and contract work in systems programming, GPU compute, and graphics programming. souls.syntax@gmail.com