Veronika B.
Verified expert
Veronika B.
Verified expert
Top skills
An AI/ML Engineer and Chatbot Developer with 3 years of experience building production-ready, data-driven systems and LLM-powered conversational agents. Veronika specializes in backend development with Python and FastAPI, designing scalable APIs, modular AI workflows, and reliable architectures for real-world AI applications.
She has hands-on experience developing multi-agent systems, intelligent chatbots with memory and voice interaction, and ML pipelines for automation and data analysis. Veronika combines a strong background in machine learning and computational linguistics with solid backend engineering practices, delivering maintainable, well-structured solutions deployed in cloud environments.
With a thoughtful engineering approach and experience working in Agile teams, Veronika is a dependable AI engineer who can confidently take ownership of AI features, backend logic, and integrations in complex products.
If youāre looking for an AI/ML engineer who can build intelligent chatbots and backend systems that work reliably in production, Veronika is a strong choice.
Download the CVHard skills
Python
Machine Learning
Backend Development
REST API Design
Asynchronous Programming
Prompt Engineering
LLM Integration
Chatbot Development
Data Analysis
WebSockets
Software Architecture
Technical Documentation
Tools
FastAPI
Pydantic
LangChain
LangGraph
LlamaIndex
OpenAI
Whisper / Faster Whisper
ElevenLabs
PostgreSQL
MySQL
Redis
SQLAlchemy
Alembic
Docker
Git
GitHub
GitLab
Pytest
Postman
NumPy
Pandas
Scikit-learn
PyTorch
AWS
GCP
Soft skills
Analytical thinking
Clear communication
Team collaboration
Responsibility
Attention to detail
Adaptability
AI-Powered Modular Workflow System
March 2024 - Present
AI & ML Engineer | Back-End Developer
Project Description:
Designed and implemented a modular multi-agent workflow system capable of executing complex pipelines either through predefined plans or dynamic orchestration by an agent controller. Integrated the MCP library with server-side connectors for databases, file storages and external APIs, enabling agents to retrieve, store, and process data autonomously.
Tools & Technologies:
LlamaIndex, OpenAI, MCP, FastAPI, Websockets, Postgres, Pydantic, Docker
Mental health chatbot
March 2023 - February 2024
AI & ML Engineer | Chatbot Developer
Project Description:
Chatbot is designed to help people with their mental problems. It consists of well-trained LLM model that is totally secure. The bot can interact with users verbally and by text messages in a real time. It has memory with previous conversations. It can simulate natural conversation and offer guided therapeutic exercises.
Tools & Technologies:
Python, FastAPI, Whisper, ElevenLabs, Llama, Langchain, AWS Bedrock, AWS Sagemaker, AWS DynamoDB, PostgreSQL, Docker
AI system for automating the design processes and development of design documentation
September 2022 - March 2023
Data Scientist | ML Engineer
Project Description:
Development of a machine learning model capable of building a 3D assembly from a list of parts.
Tools & Technologies:
Pandas, Data analysis, sklearn, XGBoost
Taras Shevchenko National University of Kyiv
Bachelorās Degree in Computational Linguistics
Machine Learning
Provider: Projector Institute
Issued: May 2024
Machine Learning
Provider: Projector Institute
Issued: May 2024
Grammarly CompLing Summer School
Provider: Grammarly
Issued: July 2021
Grammarly CompLing Summer School
Provider: Grammarly
Issued: July 2021
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