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Dmitriy Stoyanov Email & Phone Number

Senior Machine Learning Engineer at Tinkoff
Location: Almaty, Kazakhstan 7 work roles 2 schools
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Role
Senior Machine Learning Engineer
Location
Almaty, Kazakhstan
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Dmitriy Stoyanov is listed as Senior Machine Learning Engineer at Tinkoff, a with 1955 employees, based in Almaty, Kazakhstan. AeroLeads shows a matched LinkedIn profile for Dmitriy Stoyanov.

Dmitriy Stoyanov previously worked as Senior Machine Learning Engineer at Yandex.Market and Machine Learning Engineer at Яндекс.Маркет. Dmitriy Stoyanov holds Магистр, Технологии Промышленного Программирования from Университет Итмо.

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Tinkoff

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Profile bio

About Dmitriy Stoyanov

As a Senior Machine Learning Engineer at Yandex, I apply my skills and knowledge in natural language processing (NLP) and information retrieval (IR) to solve various problems for the matching team in the e-commerce platform. I have over two years of experience in data science and five years of experience in software development, with a master's degree in Industrial Programming Technologies from ITMO University.Some of my achievements include fine-tuning the YaGPT model for product generation, creating a model for semantics change detection based on BERT, and adapting an existing ML service for run-time use. I also have experience in classification, anomaly detection, clustering, and text generation, using tools such as HNSW, Catboost, and Kafka. I am highly interested in NLP and LLMs, and eager to learn new technologies and techniques to improve the accuracy and efficiency of my work.

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Tinkoff
Tinkoff
Senior Machine Learning Engineer
Russia
Website
Employees
1955
AeroLeads page
7 roles

Dmitriy Stoyanov work experience

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Senior Machine Learning Engineer

Russia

Senior Machine Learning Engineer

Current

Санкт-Петербург, Россия

Mar 2024 - Present

Senior Machine Learning Engineer

- Fine-tuned YaGPT model for the task of product generation, slashing the defect rate by 2.4 times, which enhanced the accuracy of product information presented to customers. Additionally, optimised latency by 1.5 times through quantization, contributing to a smoother user interface experience- Created a model for semantics change detection based on BERT architecture. Model finds thousands of bad matches with a precision of 50% on a daily basis- Drafted a tool for finding trending e-com… Show more - Fine-tuned YaGPT model for the task of product generation, slashing the defect rate by 2.4 times, which enhanced the accuracy of product information presented to customers. Additionally, optimised latency by 1.5 times through quantization, contributing to a smoother user interface experience- Created a model for semantics change detection based on BERT architecture. Model finds thousands of bad matches with a precision of 50% on a daily basis- Drafted a tool for finding trending e-com topics based on search sessions Show less

Nov 2022 - Mar 2024

Machine Learning Engineer

Санкт-Петербург, Санкт-Петербург, Россия

Development and analytics in Information Retrieval team- Trained and implemented a novel HNSW and Catboost-based offer classifier, confidently classifying 30% of new offers, resulted in reduced on-boarding time by over 41%- Decreased the flow of customer complaints by creating an anomaly detection model with a precision of 30%- Adapted an existing ML service, based on map-reduce solution for use in run-time, which reduced latency for predictions and freed up the capacity of… Show more Development and analytics in Information Retrieval team- Trained and implemented a novel HNSW and Catboost-based offer classifier, confidently classifying 30% of new offers, resulted in reduced on-boarding time by over 41%- Decreased the flow of customer complaints by creating an anomaly detection model with a precision of 30%- Adapted an existing ML service, based on map-reduce solution for use in run-time, which reduced latency for predictions and freed up the capacity of operators- Improved the algorithm of matching to SKU and validated it by performing B2B tests. As a result, boosted precision from 90% to 95%- Applied the sharding mechanism in several services to achieve horizontal scaling- Automated statistics calculation and built a dashboard to analyse problems with matching- Optimised total CPU time for predictions in 2 times by profiling map-reduce service and excluding unnecessary computations Show less

Feb 2021 - Oct 2022

Java Developer

T-Systems Russia

Санкт-Петербург, Санкт-Петербург, Россия

Development in Cloud Billing team- Examined existing BPMN solutions and formulated a concept for developing multi-tenant service using Camunda, focusing on evolvability, maintainability and fault tolerance- Originated a telegram bot based based on Kotlin for automating and verifying the process of creating release branches, which simplified developers duties and reduced time for release branch preparation from 45 minutes to 15 minutes- Performed load testing and searched for bottle… Show more Development in Cloud Billing team- Examined existing BPMN solutions and formulated a concept for developing multi-tenant service using Camunda, focusing on evolvability, maintainability and fault tolerance- Originated a telegram bot based based on Kotlin for automating and verifying the process of creating release branches, which simplified developers duties and reduced time for release branch preparation from 45 minutes to 15 minutes- Performed load testing and searched for bottle necks- Ensured restart-safe features for cloud services by using idempotent updates, Kafka transactions Show less

Jul 2019 - Feb 2021

Junior Java Developer

T-Systems Russia

St Petersburg City, Russia

- Designed data model and created micro-services using SpringBoot, PostgreSQL, MongoDB, Kafka, Swagger- Participated in demonstrations with German customers

Oct 2018 - Jul 2019

Intern Java Developer

T-Systems Russia

St Petersburg City, Russia

- Implemented a web application for online assessments on the Joker conference with 100+ active users using Spring Boot, Angular, MongoDB- Extended base assessment functionality with code tasks, using Docker for evaluating users submission code

Jul 2018 - Sep 2018
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2 education records

Dmitriy Stoyanov education

FAQ

Frequently asked questions about Dmitriy Stoyanov

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What company does Dmitriy Stoyanov work for?

Dmitriy Stoyanov works for Tinkoff.

What is Dmitriy Stoyanov's role at Tinkoff?

Dmitriy Stoyanov is listed as Senior Machine Learning Engineer at Tinkoff.

Where is Dmitriy Stoyanov based?

Dmitriy Stoyanov is based in Almaty, Kazakhstan while working with Tinkoff.

What companies has Dmitriy Stoyanov worked for?

Dmitriy Stoyanov has worked for Tinkoff, Yandex.Market, Яндекс.Маркет, and T-Systems Russia.

Who are Dmitriy Stoyanov's colleagues at Tinkoff?

Dmitriy Stoyanov's colleagues at Tinkoff include Evgeniy Ivlev, Иван Могилевский, Alexander A., Karim Tukhvatullin, and Anna V..

How can I contact Dmitriy Stoyanov?

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What schools did Dmitriy Stoyanov attend?

Dmitriy Stoyanov holds Магистр, Технологии Промышленного Программирования from Университет Итмо.

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