About me

Hi, Iā€™m Catalin - ML & GPU kernel engineer, started at 19, now 21.

I work on low-level GPU optimization (HIP, CUDA, PTX) and production ML systems. Currently optimizing kernels for AMD Mi300X/Mi355X and NVIDIA H100 at ISA level, and building CV systems that run in production.

I like going deep - from writing inline PTX to designing full MLOps pipelines. I iterate fast and put research into practice through real projects.

Right now focused on GPU kernels, attention mechanisms, and Re-ID.

Skills

Technical:

  • Strong background in mathematics complex analysis is the best analysis i ever took XD i love math šŸ¤“ , data structures and algorithms.
  • Great understanding of deep learning core concepts and advanced topics from recent advancements.

Soft:

  • Open to feedback and eager to learn.
  • Strong communication and problem-solving skills.
  • Effective time management and organization.

Programming languages/frameworks:

Python

Pytorch

C/C++

GPU Kernels

C#

Svelte

AI Distribution by Topic. Based on my Knowladge. šŸƒ

Computer Vision

85 %

Natural Language Processing

55 %

Large Language Models

55 %

Generative AI

75 %

Auto Encoders

60 %

Machine Learning Algorithms

45 %

Data Analysis

45 %

Reinforcment Learning

20 %

Graph NNs

20 %

Reccurent Networks

55 %

Energy Based Models

25 %

GPU Kernels

35 %