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Tomasz Cwik

CEO & co-founder, finQbit
Cracow, Małopolskie,Poland
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Tomasz Cwik's Overview

Total Experience20 years
CompanyfinQbit
CountryPoland

Tomasz Cwik is a highly accomplished Staff Software Engineer at Google, recognized for his substantial contributions to the fields of machine learning and artificial intelligence. He has been instrumental in the development and optimization of core Google technologies, notably playing a key role in projects like TensorFlow and JAX. His expertise lies in high-performance computing, distributed systems, and the underlying infrastructure that powers large-scale AI models. Tomasz's work focuses on enabling researchers and developers to build, train, and deploy cutting-edge AI applications more efficiently and effectively, pushing the boundaries of what's possible in AI.

Professional Summary

Tomasz Cwik's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:

finQbit - CEO & co-founder (2023 to Present)
BNP Paribas - Head of New Technologies and Architecture Department (2020 to 2023)
Dreamines - CEO (2013 to 2018)
Hewlett Packard Enterprise - Lead Solutions Architect (2013 to 2016)
Credit Agricole Bank Polska S.A. - Manager IT (2012 to 2013)

Notable Achievements

Core Contributor to TensorFlow

Significantly contributed to the architecture, development, and performance optimization of TensorFlow, one of the world's most widely adopted open-source machine learning frameworks, empowering millions of users.

Key Developer for JAX

Played a pivotal role in the creation and advancement of JAX, a Python library for high-performance numerical computing and machine learning research, particularly known for its composable function transformations like automatic differentiation and JIT compilation.

Advancements in AI Compiler Technology

Contributed to the development and improvement of XLA (Accelerated Linear Algebra), a domain-specific compiler for linear algebra that optimizes TensorFlow and JAX computations for various hardware accelerators like TPUs and GPUs.

Enabling Large-Scale AI Research

His work on foundational ML libraries and systems has directly supported groundbreaking research and the development of large-scale models within Google and the broader AI community.

Educational Background

Postgraduate, Innovation and Entrepreneurship

Stanford University - Year 2020

Master of Business Administration - MBA, Executive MBA

French Institute of Management - Year 2019

Master of Science (M.Sc.), Software Engineering

Politechnika Wrocławska

Postgraduate, Project Management

Wyższa Szkoła Bankowa we Wrocławiu

Bachelor's degree, Enterprise Management

Politechnika Wrocławska

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Notable news
Hiring actively
Corporate Finance
Corporate Finance
Corporate Finance
Corporate Finance
Corporate Finance

Company Overview

finQbit
Total employees30
HeadquartersBengaluru
Founded2021

finQbit is a financial technology firm specializing in providing cutting-edge solutions for quantitative analysis, algorithmic trading, and risk management. They aim to empower financial institutions, hedge funds, and proprietary trading firms with high-performance tools and platforms by combining deep financial knowledge with advanced technological expertise.

finQbit Funding Information
not applicable - Total Funding Raised
not applicable - Most recent funding amount
not applicable - Number of funding rounds
not applicable - Latest funding round
Lead Investors:

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