Данило

DANYLO DVOICHENKOV
NLP Engineer, Computer Scientist
[open contact info](look above in the "contact info" section) [open contact info](look above in the "contact info" section)

Kyiv, Ukraine [open contact info](look above in the "contact info" section)

t.me/supersokol777 orcid.org/0009-0007-1935-6743

github.com/supersokol Remote / Hybrid

Not willing notice period - 3-5 days

Career Objective

Employment Experience
Leading Engineer, Bogolyubov Institute for Theoretical Physics (BITP) 02/2026 – Present
Support AI- and data-intensive research on the institute's grid/cloud computing
• Kyiyv, Ukraine
infrastructure, contributing to large-scale scientific data processing and Ukraine's
participation in the European Open Science Cloud (EOSC).

AI/ML Developer, CVGenix 02/2026 – 06/2026
Build LLM-powered features for an AI recruitment platform that automates
• Kyiv
candidate sourcing - prompt pipelines that generate candidate suggestions, filter
and rank profiles, and produce Boolean search strings from a job description and
skill criteria.
Work across the hiring flow: profile summarization, candidate ranking, interview
•

simulation/scoring, and outreach-message generation.

Leading Engineer, Institute of Information Technologies and Systems (IITS), NASU 07/2025 – 01/2025
Conducted research in intelligent information technologies - AI-based knowledge
• Kyiv, Ukraine
structuring, taxonomy modeling, and semantic networks - feeding into scientific
publications.

NLP Engineer, Askflow AI 09/2023 – 04/2025
Built and scaled an AI quiz-generation platform for e-commerce: designed prompt
• London
architectures, LLM orchestration, and structured-output (JSON) pipelines driving
dynamic UX and personalized customer journeys.
Implemented response streaming for real-time rendering; developed AI sales-
•

assistant chatbots that guide customers and support purchase decisions to lift
engagement and conversion.

NLP Engineer, Fourmeta Agency 09/2023 – 04/2025
Developed AI-powered solutions for e-commerce and marketing automation: NLP
• London
pipelines, LLM-driven assistants, and personalization workflows.
Ran research and technical evaluations - experiments, hypothesis validation,
•

reports - to drive tool selection and product decisions.

System Analyst, Maxify 03/2021 – 10/2022
Built a dynamic-pricing system for real estate: simulation tools, KPI evaluation,
• London
and pricing-performance optimization.
Developed automation for income-plan adjustment and solutions that fixed
•

overpricing and improved planning accuracy.
Data Scientist, M4U 02/2021 – 06/2022
Developed computer-vision and speech-processing solutions for real-estate
• Kyiv
analytics: an interior image classifier for quality assessment and improved
pricing-calculation methods for the P/ARC (Mappy) product.
Built a prototype ASR system to analyze call transcripts for sales-manager
•

performance evaluation.

Education
PhD Student in Computer Science, 2022 – 2026
International Research and Training Center for Information Technologies and Systems
The theme of Research Proposal: Novel technology for building a semantic
networks based on text

Master Degree in Computer Science, Taras Shevchenko National University of Kyiv 2017 – 2019
Educational Program: Artificial Intelligence The theme of Master's thesis: Generation
of coherent text using recurrent neural networks

Bachelor Degree in Economics, Kyiv National Economics University 2013 – 2017
Program Subject Area: Economic Cybernetics

Skills
Languages & Tools Libs and frameworks
Python, SQL, NoSQL, Bash, Linux, Docker, Git, LaTeX FastAPI, Flask, Langchain, OpenAI, PyTorch,
TensorFlow, Matplotlib, Keras, sklearn, RASA NLU,
Additional skills SpaCy, Transformers, etc
NN Optimization, Entity-Resolution (ER), ASR (Vosk,
Kaldi), RASA NLU, Data Clustering, Dimensionality LLM / GenAI
Reduction, Time Series Forecasting, Graph LLMs, RAG, Prompt Engineering, LangChain,
Algorithms, Data Visualization, CV, OCR LlamaIndex, OpenAI API, Transformers, Hugging
Face, Knowledge Graphs
ML / DS
Machine Learning, Applied ML, Artificial Neural NLP & Data Engineering
Networks, NN Optimization, Computer Vision, OCR, NLP, Information Extraction, Entity Resolution (ER),
ASR (Vosk, Kaldi), Clustering, Dimensionality Graph Algorithms, Graph Databases, ETL Pipelines,
Reduction, Time Series Forecasting, Pattern Data Normalization, Data Processing, Data Mining,
Recognition, Statistics Data Visualization

Languages
English Ukrainian
B2 Fluent

Soft Skills
Effective at prioritising tasks to achieve deadlines Strong communication, multilingual (EN /UA/RU)

Analytical and problem-solving skills Fast self-learning and adaptability
Other Experience
NLP Engineer (Volunteer) , YouControl / YC World, Kyiv 05/2022 – 08/2022
Worked on the application of Senzing product for ER problem in ruassets.com
• Remote
product.
Made service for converting FtM JSONs to Senzing format and then processing
•

them with Senzing API (has now been made open source:
https://github.com/gidno/ftm-senzing-service ).