Steven Lariau

Data Scientist

https://www.opentalent.in/steven-lariau

Member since June 24, 2026

Key Strengths

Strong foundational knowledge in low-level programming (C++, Rust, Assembly) and system emulation.
Demonstrated interest in machine learning through projects like 'dcgan-cuda' and 'simplenn'.
Experience with GPU programming (CUDA) and performance optimization.
Proficiency in Python, a core language for Data Science.
Exposure to compiler design and toolchain development.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

riscv-emu

June 12, 2025 – June 12, 2025

Very basic and simplified RISC-V emulator written in Rust

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scc

April 1, 2025 – April 10, 2025

C Compiler written in Rust

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simplenn

February 27, 2021 – February 28, 2021

Basic neural network implementation with computation graph and autodiff using only numpy

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asm-samples

October 21, 2020 – October 22, 2020

Implementation of several short sample programs using ARMv4, ARMv8, X64, and RISC-V

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logia

August 18, 2020 – August 29, 2020

text formatting logging library

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chip8-toolchain

March 22, 2020 – April 27, 2020

Complete toolchain (as, ld, cl, emu) for the CHIP-8, written in C

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cl-book

December 15, 2019 – April 19, 2020

Simple compiler examples in Rust, based on my reading of "Engineering A Compiler, 2nd edi"

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ml-notebooks

November 29, 2018 – November 22, 2022

Several python notebooks about machine learning

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dcgan-cuda

April 22, 2018 – July 9, 2018

Implementation of a Deep Convolutional Generative Adversarial Network for CPU and GPU with Cuda

View Project

lightsyncjs

September 20, 2015 – September 22, 2015

Javascript library for syncing data between localStorage and Cloud Storage services (Dropbox, Google Drive)

View Project

Key Strengths

Strong foundational knowledge in low-level programming (C++, Rust, Assembly) and system emulation.
Demonstrated interest in machine learning through projects like 'dcgan-cuda' and 'simplenn'.
Experience with GPU programming (CUDA) and performance optimization.
Proficiency in Python, a core language for Data Science.
Exposure to compiler design and toolchain development.

Cultural Fit Analysis

The candidate's projects demonstrate a strong inclination towards deep technical challenges, low-level systems, and machine learning implementations from scratch. While this indicates a proactive and curious individual, the projects are predominantly personal and highly technical, with less emphasis on collaborative or product-oriented work. The target role is 'Data Scientist', and while there are ML-related projects, the overall portfolio leans heavily towards systems programming and compilers, which might indicate a different primary interest or a need to align more closely with typical Data Scientist responsibilities (e.g., data analysis, statistical modeling, deployment of ML models).

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's profile primarily showcases technical project work without details on collaboration, problem-solving approaches, or communication styles.

Steven Lariau

Key Strengths

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit