Nicolas Rémond

Software Engineer, Machine Learning

+82-10-3715-9048

[email protected]

nicolas.rémond.com


Profile

Passionate engineer with 7 years of experience in the software industry, I am a team player and I enjoy tackling challenging problems.

Although I love Python and Machine Learning, I have interest in anything related to software development.

I'm looking for a collaborative team with a strong, positive impact on the world around us, to build great things together.


Experiences

2022 ~ Now

NLP Tech Lead

Fleksy

Improved the quality of the NLP features of the Fleksy mobile keyboard : auto-correction, auto-completion, next-word prediction, swipe gesture recognition, in many languages (82+).

Implemented automated NLP benchmark, to visualize how well our features evolve across languages and across versions

Improved the Language Model leveraging open-source tools, enhancing auto- correction for 97% of the 82 languages, up to 28% better in some languages

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2021 ~ 2022

Machine Learning Engineer / Engineering manager

Spacewalk

Developed AI for automated floor plan generation in this proptech startup, using Reinforcement Learning. Worked in a team of 8, managed 2 engineers.

Implemented path checking algorithm with 87 times better performance than requirements

Established best practices and documentation standards, adopted in every technical teams of the company

Built a highly performant RL prototype (250 times faster than the existing model) which was later integrated into the main product, and used as guide for future work

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2018 ~ 2021

Machine Learning Engineer

42Maru

I worked on several NLP tasks with a focus on text summarization within the research team of this Korean startup.

SOTA in question generation with BERT architectures

SOTA several times in text summarization

Developed a framework for deploying Pytorch models to production easily, used across several teams

Production-ready summarization API built from the ground up leading to a commercial product

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Feb. ~ Jul. 2018

Intern in Quality Assurance

Gracenote - Nielsen

Developed automated tests at industrial scale for smart TV.

Fully automated test suite for the ACR component, saving hours of manual tests for the team

Improved deployment pipeline to a new quality standard

Conducted tests for an admin dashboard, without supervision

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Jul. ~ Aug. 2017

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