Egor Yatsishin

Bis 2022, Lead Conversational AI Developer, TSUM — Central Universal Department Store

Jerewan, Armenien

Über mich

I'm a linguist with understanding of the programming importance in the modern era. Currently interested in Conversational AI and dialogue systems. Find myself comfortable doing teamwork and collaborating, really like being among people. Proficient in Natural Language Processing with Python and know how to handle big amounts of raw data to make it useful. Experienced at creating end-to-end machine learning pipelines. Being a young specialist it is easy for me to learn and I am fast to adapt to the company needs. Looking for a Linguist Developer job where I can do a lot of coding but also implement my knowledge in Linguistics. I personally dealt with named entity recognition, sentiment analysis and coreference resolution. Currently have a passion for Voice Assistants and intent recognition. Excited for new professional growth opportunities I am eager to use my experience in linguistics, coding and communication to achieve the best results possible.

Fähigkeiten und Kenntnisse

Linguistics
Git
Data Mining
Jira
Kotlin
Python
JustAI Conversational Framework
Ktor
Machine Learning
Natural language processing
Pandas
PostgreSQL
REST API
Scrum
Confluence
Communication
SQL
Swagger
Writing

Werdegang

Berufserfahrung von Egor Yatsishin

  • Bis heute 1 Jahr und 11 Monate, seit Aug. 2022

    Data Engineer

    BostonGene

    Engineering data pipelines to make laboratory experiments useful and available for analytics. Building workflows and development processes for a new DE team from the ground up. – Developing Python scripts for ETL pipelines – Doing full-cycle development of a dedicated app for report generation and laboratory operation speed enhancement – Leading the DevOps part of the DE team – Interacting with the laboratory to understand their needs – Mentoring colleagues and integrating common development practices

  • 7 Monate, Jan. 2022 - Juli 2022

    Lead Conversational AI Developer

    TSUM — Central Universal Department Store

    Creating a personal single-screen conversational assistant for the largest department store in Eastern Europe specialized on luxury goods. As the first developer, built and led linguistic development department. Conducted technical interview, onboarding, code-review and task distribution for backend developers.

  • 4 Monate, Okt. 2021 - Jan. 2022

    Conversational AI Developer

    TSUM — Central Universal Department Store

    Programmed backend on Kotlin for iOS app from scratch to pre-production state. Personally worked on creating client flow through bot states, developed widgets for in-app presentation of goods from TSUM stock, established API communication between services, managed codebase architecture.

  • 3 Monate, Juli 2021 - Sep. 2021

    NLP Engineer

    Semantic Hub

    Carried out an R&D project on assessing the need of using ML methods for coreference resolution on Russian medical forum data for the company needs. - Analyzed coreference strategies and linguistic aspects of Russian forum speech, identified suitable SOTA ML models, assessed existing relevant corpora. - Composed the pipeline from raw data to prediction scoring, processed and analyzed 1.7 million coreferential chains, adapted English BERT-based system to Russian language.

  • 1 Monat, Dez. 2020 - Dez. 2020

    Speaker

    COLING; The 28th International Conference On Computational Linguistics

    COLING is a major annual international conference on computational linguistics. I was leading and representing a team of 3 more students. - Giving a 10-minute speech as the winner of the workshop dedicated to extraction of adverse side-effects caused by pharmaceutical products from Twitter in Russian. - Achieved results were reflected in a publication.

  • 1 Monat, Aug. 2020 - Aug. 2020

    Speaker

    Skolkovo Summer School Of Machine Learning

    Highly selective (10%) summer school at renowned Skoltech which covers the modern statistical machine learning methods. - Presenting a 15 minute talk on "BERT Implementation for Detecting Adverse Drug Effects Mentions in Russian".

Sprachen

  • Englisch

    Fließend

  • Deutsch

    Grundlagen

  • Französisch

    Grundlagen

  • Russisch

    Muttersprache

21 Mio. XING Mitglieder, von A bis Z