Yevheniia G.
Private message 
Kyiv,
Ukraine
on vacation
Rating
Language proficiency level
Українська: fluent
English: advanced
CV
👨💻 Software engineer with 10+ years of experience. I work where others have already given up — with large-scale systems, dozens (and sometimes hundreds) of servers, complex infrastructure, massive databases, and microservice architectures. I know what system security is (including the human factor), performance tuning, and what to do when "something breaks on Friday night" (most importantly — how to prevent it).
🔧 Core stack. Open-source based on Linux (Ubuntu/Debian), SQL (MySQL, PostgreSQL), NoSQL (MongoDB, Redis), Python, JavaScript, Node.js. Docker, Git, CI/CD. OpenAI platform (both usage and fine-tuning).
🛠️ Familiar with hundreds of libraries, utilities, various APIs, and programming approaches (I won’t even try to list them all — the list keeps growing 😎).
📊 Areas of expertise:
- Administration and control systems,
- Process automation (so people don’t do what a script can handle),
- Data collection and processing using algorithmic and AI approaches,
- User behavior emulation (yes, I write bots — for testing and analytics, not spam 😎),
- Adapting and integrating AI technologies to solve modern problems using modern tech.
🧠 I work easily with legacy code and old systems, where others go for the “we need to refactor everything”. I dive in, fix things, and get them working.
🛠️ I offer long-term support for the solutions I build, to ensure everything runs smoothly — without the classic “oops, everything broke after the update.”
✅ I handle “blurry” tasks well (when a quick solution is needed to understand how to build a production system through experiments), help clarify requirements, and plan the workflow. I’m proactive, result-oriented, and focused on delivering working solutions — not excuses.
Skills and abilities
Programming
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AI & Machine Learning
from 23 USD for hour
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Bot Development
from 23 USD for hour
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Content Management Systems
from 23 USD for hour
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Cryptocurrency & Blockchain
from 23 USD for hour
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Data Parsing
from 23 USD for hour
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Databases & SQL
from 23 USD for hour
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Javascript and Typescript
from 23 USD for hour
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Python
from 23 USD for hour
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Web Programming
from 23 USD for hour
Services
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AI Consulting
from 23 USD for hour
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Cybersecurity & Data Protection
from 23 USD for hour
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Data Processing
from 23 USD for hour
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Enterprise Resource Planning (ERP)
from 23 USD for hour
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Information Gathering
from 23 USD for hour
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Website Development
from 23 USD for hour
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Website Maintenance
from 23 USD for hour
Photo, Audio & Video
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AI Speech & Audio Generation
from 23 USD for hour
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Video Creation by Artificial Intelligence
from 23 USD for hour
Portfolio
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30 000 USD Semantic search and report generation system (RAG)
AI & Machine Learning
Unstructured Data Analytics System (text and media), which implements the RAG approach to provide semantic search and create structured reports based on filtered results. The interface allows users to perform deep searches across a database of text documents, images, videos, and audio, considering various filters: data type, date range, metadata.
After the search, users have the ability to create customized analytical reports generated using LLM models (including local or API-based) based on the selected content.
… Key functionalities:
* Semantic search using RAG (combination of vector search and answer generation),
* Integrated filters to refine results (type, date, metadata, relevance),
* Support for multiple content types: documents, audio, video, images,
* Report generation with local LLM models for processing private data.
Technology stack:
* Python — core logic, data processing, LLM integration,
* Elasticsearch — storage and semantic search of vectorized data,
* OpenAI — use of GPT models for building RAG pipelines,
* Docker, Git, Linux — platform, deployment, CI/CD.
My role:
System architecture, implementation of indexing and semantic search mechanisms, integration of OpenAI API and local LLMs, environment setup with Docker, automation of report creation.
#python #elasticsearch #openai #llama #docker #git
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12 000 USD Automation and Bot Management System
Javascript and Typescript
Automation system for social accounts (bots) and their centralized management, capable of handling thousands of bots simultaneously. Allows adding new accounts, assigning tasks to them (e.g., posting messages, interacting with other users, data collection), as well as managing task execution in real-time and aggregating bot work results. Supported platforms: Linkedin, Amazon (store), Facebook, X (Twitter).
Main features:
* Adding and managing accounts with display of their status and condition (tracking blocks and restrictions),
… * Assigning tasks to each account: posting, likes, following, parsing, and others,
* Mass management of bot groups,
* Monitoring task execution.
Web interface designed for simultaneous use by multiple operators, admin panel for access control and work monitoring.
Technology stack:
* Node.js + ADB (Android Debug Bridge) — implementation of automation logic and device management (browsers and mobile emulators),
* MySQL — centralized data storage and processing,
* Ubuntu Linux, Git, and Docker — main platform for management and deployment,
* AWS — infrastructure for task queues and dynamic worker deployment.
Role in the project:
Development and implementation of system architecture, backend services for task processing, ADB scripts for emulator interaction, optimized database structure. Configuration of deployment automation and CI/CD processes. Created frontend management interface.
#NodeJS #AWS #GIT #docker #MySQL #Linux\UNIX #docker #adb #automation #bots #Bots
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15 000 USD Trend analysis system for news and anomaly detection
Python
An intelligent system for collecting, processing, and analyzing news content from hundreds of sources in real-time. It aggregates news, performs semantic content analysis, considers user behavior (comments, social reactions), and generates insights about trends, anomalies, and overall sentiment.
Main functions:
* Collecting news from RSS, API, and websites using custom parsers,
… * Content analysis of news: classification of topics, keyword detection, tone determination (positive, negative, neutral),
* Interaction with social networks: accounting for reactions, comments, and news sharing,
* Visualization of the dynamics of topic popularity, mentions, emotions, and behavioral patterns,
* Detection of atypical activities and anomalies in news streams or user behavior.
Technological stack:
* Python — data processing, NLP analysis, anomaly detection,
* Node.js — request processing, API interfaces, data stream handling,
* MySQL — storing news, user activity, and analysis results,
* RabbitMQ — asynchronous data processing,
* Docker — containerization of services for stable deployment,
* GitHub Actions — automation of CI/CD, testing, image building,
* OpenAI Platform — using GPT models for improved content analysis and structured data generation.
Role in the project:
"Turnkey" project — sole full-stack developer. System architecture, integration of NLP models, building data processing pipelines and CI/CD automation, UI dashboards for visualization of analysis results.
#python #NodeJS #javascript #MySQL #rabbitmq #openai #nlp #ml #Parsing #bigdata
Reviews and compliments on completed projects 1
5 July 2025
564 USD
Local LLM fine-tuning for the structured output
Project was delivered faster than excepcted with the desired quality:
- the solution (delivered tuned model) works as expected, demonstrating required results on our test dataset,
- extremely good timing,
- professional approach to communication: result-oriented, no extra-problem-invention talks,
- highly-professional execution with working solution delivered.
Happy to continue our cooperation in future.
Activity
| Latest proposals 1 | Budget | Added | Deadlines | Proposal | |
|---|---|---|---|---|---|
Local LLM fine-tuning for the structured output
564 USD
|
