Wojciech Jabłoński

CTO

San Francisco, California, United States5 yrs 10 mos experience
Highly Stable

Key Highlights

  • Achieved 10% speedup in matrix multiplication at NVIDIA.
  • Core developer for open-source SIO2 platform.
  • Experience in deep learning and FPGA acceleration.
Stackforce AI infers this person is a Software Engineer with expertise in Deep Learning and performance optimization.

Contact

LinkedIn

Skills

Core Skills

Software DevelopmentDeep Learning

Other Skills

AlgorithmsCC++LinuxLow Level ProgrammingProgrammingPython

Experience

Stealth

Member of Technical Staff

Sep 2025 – Present · 6 mos

  • Working on something new and exciting!

Radix trading llc

Quantitative Technologist

Aug 2021 – Aug 2025 · 4 yrs · Amsterdam, North Holland, Netherlands

Nvidia

2 roles

Software Engineer Intern

Jul 2019 – Dec 2019 · 5 mos · Santa Clara, California, United States · On-site

  • Working at the cuBLAS team. The result was a 10% speedup to the matrix multiplication in cuBLAS.

Deep Learning Software Development Intern

Jul 2017 – Sep 2017 · 2 mos · San Francisco Bay Area

  • Working at TensorRT team (main inference product of NVIDIA)

Uniwersytet warszawski

Software Engineer

Oct 2015 – Jun 2016 · 8 mos · Warsaw

  • SIO2 open source algorithmic platform (https://github.com/sio2project/oioioi) core developer as part of Application Programming course

Intel corporation

Software Engineer Internship

Jun 2015 – Sep 2015 · 3 mos · Gdańsk, Pomorskie, Poland

  • Neural network acceleration on FPGA chips

Education

University of Warsaw

Master's degree — Computer Science

Jan 2019 – Jan 2021

University of Warsaw

Bachelor's degree — Computer Science

Jan 2014 – Jan 2018

XIV LO im. Stanisława Staszica w Warszawie

High School Diploma — University-level math program

Jan 2010 – Jan 2014

University of Warsaw

Bachelor's degree — Mathematics

Jan 2014 – Present

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