Денис

Контактна інформація

Шукач вказав телефон , ел. пошту та LinkedIn.

Отримати контакти цього кандидата можна на сторінці https://www.work.ua/resumes/6218641

Досвід роботи

NLP Researcher/Data Scientist

з 01.2022 по 04.2023 (1 рік 3 місяці)
sandsiv+, Київ (IT)

NLP R&D.
Focused on helping our clients gain a deeper and wider understanding of their customers' feedback. Have developed various solutions for advanced text analysis that allowed for better insights from users' input. Some of the challenges involved multi-language ABSA, entailment detection, LLMs finetuning, semantic similarity, prompt engineering, and topic modeling.
Also was in charge of maintaining and developing various ETL workflows via Knime software.

Machine Learning Engineer

з 11.2021 по 12.2021 (1 місяць)
FreySoft, Київ (IT)

Was in charge of developing personalized marketing solutions using various NLP methods, mainly zero-shot generative models and document/online info parsing. I had been willing to dig deeper into the area of controllable disintegrated text generation before my project was sadly wrapped up.

Machine Learning Engineer

з 02.2021 по 10.2021 (8 місяців)
Adoriasoft, Київ (IT)

Played a key part in the development of the DL-based steganography product with different content modalities. The aim of the project was to conduct undetectable watermarking (embedding and extraction) for images, audio, and video for confirming the authenticity of the information and its ownership. The project involved deep research (papers analysis) and implementation of the latest DL solutions as well as learning the specifics of the steganography practices and digital content specifics such as video codecs. I've developed custom neural nets with specific training procedures like off-graph usage of non-differentiable computation blocks or Triplet loss for Siamese nets.
During my research, I've made an important discovery which was later used within the project by other engineers and helped broaden the feature set of the end product. Also have implemented interpretable ML-based credit scoring systems, including via SHAP values analysis.
I also gained a general understanding of DeFi and learned about popular frequency transforms (DCT, DFT, DWT).

Data scientist

з 10.2020 по 12.2020 (2 місяці)
RBC Group, Київ (IT)

That's my starter position at which I was figuring out what was the most interesting to me in terms of ML/DS.
Involved time series predictions, mainly supply needs or sales volumes.

Перекладач/копірайтер

з 06.2014 по 02.2020 (5 років 8 місяців)
Фріланс, Київ (ЗМІ, медіа)

Освіта

Київський університет ім. Бориса Грінченка

Менеджмент організацій та адміністрування, Київ
Вища, з 2019 по 2020 (1 рік 3 місяці)

Магістратура

Київський університет ім. Бориса Грінченка

Менеджмент, Київ
Вища, з 2015 по 2019 (3 роки 9 місяців)

Бакалаврат

Додаткова освіта та сертифікати

Python basics at Codecademy

2017, 2 місяці

Intro to Data Analysis at Udacity

Січень 2020, 1 місяць

Intro to Deep Learning with PyTorch at Udacity

Березень 2020, 1 місяць

Intro to Relational Databases at Udacity

Березень 2020, 2 тижні

Intro to TensorFlow for Deep Learning at Udacity

Квітень 2020, 1 місяць

Знання і навички

Знання мов

• Англійська — просунутий
• Українська — вільно

Додаткова інформація

Tg: @yorkethh
GH: @DenysYurchenko24

I now have almost 3 years of experience in building ML/DL pipelines with 2.5 years of commercial experience in the field including team-leading experience.

Currently providing occasional consulting services, e.g. on the RAG project. My latest job was aimed at developing various textual NLP solutions (incl. ABSA) for the VoC platform allowing our clients to better understand their customers' feedback.

My previous position involved developing personalized marketing solutions using various NLP methods. Before that, I was working on DL-based steganography (undetectable watermarking) with different content modalities, primarily employing Computer Vision techniques.

I have experience applying LLMs and GANs to solving custom problems. In my work, I leveraged the prompting of existing models and the development of custom ones with specific training procedures like off-graph usage of non-differentiable computation blocks or Triplet loss for Siamese nets.

I'm familiar with popular frequency transforms (DCT, DFT, DWT) and know Reinforcement learning basics (DQ learning).

I have publications in professional scientific journals, in particular on the topic of ML/DS, e.g. I've proposed a way of dealing with the Peter principle in hierarchical organizations via using machine learning.

I have a general understanding of DeFi and have implemented interpretable ML-based credit scoring systems, including via SHAP values analysis.

I'm looking for a job that would allow me to broaden my ML/DL skills and realize my interests.
What I don't want is ML for the sake of ML and applying AI simply as a hyped instrument.