Stanislav Beliaev

Co-Founder

San Francisco, California, United States6 yrs 2 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Co-founder of AI coaching startup Fluently.
Raised $2 million for a deep tech company.
Experience with top tech companies like Google and Nvidia.

Stackforce AI infers this person is a SaaS-focused AI and Machine Learning expert.

Contact

Skills

Core Skills

AiMachine LearningDeep Learning

Other Skills

C++Domain AdaptationPyTorchPython

About

I am a co-founder of Fluently (YC W24) ➡️ GetFluently.app It's an AI coach which helps you to progress in your English speaking skills Past Ventures: - Led a deep tech company, raised $2 million, and managed a team of 50 - Worked as ML researcher at Nvidia - Completed ML internships at Google and Nvidia

Experience

Fluently

Co-Founder, CTO

Jan 2023 – Present · 3 yrs 2 mos

GetFluently.app (YC W24) - AI tutor that helps non-native English professionals improve their speaking skills. Imagine a human-like English coach, available 24/7 and 15x cheaper.

PythonAIMachine Learning

Nvidia

2 roles

Machine Learning Researcher

Dec 2019 – Jan 2021 · 1 yr 1 mo · San Francisco Bay Area

Machine Learning

Deep Learning Research Intern

May 2019 – Aug 2019 · 3 mos · San Francisco Bay Area

Working as part of the Deep Learning Applications team.
Developed high-level Deep Learning framework, built on top of PyTorch with seamless multi-GPU support, mixed precision mode and whole bunch of other features.
Developed and implemented a novel model for Speech Recognition, which incorporates the usage of prior knowledge for speeding-up train time and boosting accuracy.

Google

Software Engineer Intern

Aug 2019 – Dec 2019 · 4 mos · San Francisco Bay Area

Working as part of the Google Accelerated Science (GAS) team in Google Research.

Neuromation

Machine Learning Engineer

Mar 2018 – Feb 2019 · 11 mos · Saint Petersburg, Russian Federation

Contributed major part in developing a framework for Domain Adaptation task and proposed new extensions to existing methods, resulting in a published paper.
Took part in various research and product-oriented projects, including: Drug Discovery (with Insilico), Domain Adaptation, Face Recognition and Object Detection of garbage for pollution reducing.

Machine Learning

Devexperts

Software Engineer

Nov 2017 – Mar 2018 · 4 mos · Saint Petersburg, Russian Federation

Wrote complex financial data processing pipelines.

Jetbrains

Software Engineer Intern

Jul 2017 – Aug 2017 · 1 mo · Saint Petersburg, Russian Federation

Developed internal system for source code submissions clustering, finding similarities and smart tips for learning process, based on Representation Learning for trees.