Skip to content
View maryna-b's full-sized avatar
:octocat:
Looking for a new job
:octocat:
Looking for a new job

Highlights

  • Pro

Block or report maryna-b

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
maryna-b/README.md

Hi there, my name is Maryna Bogdan 👋

I’m an AI/ML Engineer with over 5 years of experience building smart solutions to solve real business problems. I have solid expertise in Generative AI, Machine Learning, and NLP, and I actively keep up with the latest trends and tools in the field. I'm passionate about creating useful AI-powered products and enjoy working on innovative projects that explore the possibilities of Generative AI and NLP technologies.

🌟💫 Right now I am looking for new opportunities 💫🌟

⬇️⬇️⬇️

💼 I’m looking for AI/ML Engineer or NLP Engineer roles.

🌎 I’m open to remote roles.

⭐ I’ve previously worked at ProWritingAid and Accenture.

Workshops & Talks:

"ChatGPT without hallucinations using the RAG architecture" Speaker at PythonVigo community (2025, Vigo), 1 hour talk. As a demo for the talk was demonstrated a simple RAG architecture (tech stack: LangChain, OpenAI, HuggingFace, Chroma)

“ChatGPT Prompt Engineering for developers” Speaker at "PulpoCon 2023" (Vigo, Spain), 2 hour workshop. As a practical task for the workshop, we developed a simple chatbot for a restaurant using the OpenAI API

Pinned Loading

  1. research_copilot research_copilot Public

    AI research assistant for ingesting, processing, and querying research papers and documents

    Python

  2. rag_chat_app rag_chat_app Public

    A RAG chatbot that allows you to ask questions about your documents and get intelligent answers with source citations [Demo for conference]

    Python