Natural language processing and
machine learning

laboratory

мы говорим по-русски // english
For questions: iwitaly@potehalabs.com
We conduct production ready research and development to solve natural language understanding and classical machine learning problems.
Our focus is dialogue systems, named entities recognition, general text analysis and processing, recommendation systems and statistical predictive models.
Our range of work from the task description to the deployment. We help our clients pick out opportunity from the problem and decide on how to resolve it.

Work & Stack

WE USE Python 3.6 + Postgres + Django/Flask + all that's needed. For deployment we prefer Docker containers with orchestration tools like ECS. In machine learning we prefer classical tools such as Sklearn + Keras + Pytorch
our work process
// Clarifying all technical features of the problem
// Inventing metrics, finding out the details and studying the side cases. Providing customer with a solution plan
// Data cleaning and preprocessing
// Study of experiments (theory) with data
// Implementation of baselines and experiments with models
// Checking the quality on the dev environment of models
// Writing an API for models, Preparing for production and Deploing microservice including docker
we available for call or messages 24/7

// keep our work as transparent as possible for our clients
// give full access to our repos and task boards
// Once a week we prepare a talk or presentation about sprint results and give it in person

Projects

Dnato.style // One-stop-shop for online retailers, stylists and consumer customers
What we’ve done: Deep learning, computer vision, machine learning
All projects 2

Work & Stack

WE USE Python 3.6 + Postgres + Django/Flask + all that's needed. For deployment we prefer Docker containers with orchestration tools like ECS. In machine learning we prefer classical tools such as Sklearn + Keras + Pytorch
our work process
// Clarifying all technical features of the problem
// Inventing metrics, finding out the details and studying the side cases. Providing customer with a solution plan
// Data cleaning and preprocessing
// Study of experiments (theory) with data
// Implementation of baselines and experiments with models
// Checking the quality on the dev environment of models
// Writing an API for models, Preparing for production and Deploing microservice including docker
we available for call or messages 24/7

// keep our work as transparent as possible for our clients
// give full access to our repos and task boards
// Once a week we prepare a talk or presentation about sprint results and give it in person

Reviews

Dmitry Barbanel
// A graphic designer and a partner in designworkout, masterskaya.pro

Poteha Labs is a company of young superprofessional guys, who provided Masterskaya with a breakthrough in serious web projects. Thanks to their support and enthusiasm, in August 2017 the educational project DesignWorkout started in Telegram. Nobody did this before and, apparently, has not done so far! The project brought together hundreds of creative designers and defined a new direction for the development of educational projects of Masterskaya, including Campus.

Daria Rodionova
// Head of User Research at Toadman Interactive

Poteha helped Toadman Interactive with analytical system backend. Guys at Poteha showed a great deal of care and professionalism when It came to Toadman’s business goals. They are definitely experts in their field and I am happy to recommend their services. Looking forward to working with them again!

Dmitry Zaruta
// CEO at EasyTen

I really enjoyed working with guys from POTEHA. First of all, I would like to note the team responsibility and the desire to understand the product, and not just perform the assigned tasks as is. They have great experience in developing both from the technical and business side. Together they have built a flexible and scalable analytical system, as well as many other tools for the back office and server side of the mobile application EasyTen. I recommend them as a team that is able to solve each problem they ever face.

Call +79261061040 or write us
We work with research-friendly companies, which understand risks and benefits from machine learning R&D.
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We work with research-friendly companies, which understand risks and benefits from machine learning R&D.

We are looking for cool engineers

Fullstack developer
Engineer in ML
Technical Project Manager
We are looking for accurate developer. If you do your work until the end and understand how the design works, if you want to grow and evolve, please, contact us! We offer fascinating projects, pay average market rate, and give you opportunity to work from anywhere you would like. Our team consists of engineers and data scientists, the average employee age is 24. You are expected to know adaptive layout, React, Redux, Node or Python, database. At the interview we would like to learn about your previous experience and discuss possible architectures of web projects.

You are expected to have:
// HTML, CSS and JavaScript knowledge

// experience in Django

// the ability to synchronize different parts of code

// basic knowledge of computer science

// experience in PostgreSQL, MongoDB and other DB

// knowledge of Gitflow

// knowledge of adaptive layout

Fullstack developer
Engineer in ML
Technical Project Manager
SEND YOUR CV
We’re also creating ML-based web and mobile services // potehadevs.com
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Describe your project idea and write a company name
if any
Email or phone
We reply within 48h
Propose project
We work with research-friendly companies, which understand risks and benefits from machine learning R&D.