← Back to list
Registration: 29.09.2026

Andreea-Alexandra Popii

Specialization: AI/ML Engineer
— Computer Science Master's student and Graduate AI/ML Engineer focused on building practical AI applications with Python. — I have hands-on project experience in Machine Learning, Generative AI, RAG, AI agents and data analytics. — I developed an Agentic RAG application using LangChain, ChromaDB, embeddings, hybrid retrieval, LLM reranking, tool calling and MCP, exposed through FastAPI and containerized with Docker. — I also implemented automated testing with pytest and a GitHub Actions CI/CD pipeline. — My other projects include multimodal emotion recognition using PyTorch and Transformers, machine learning prediction models using scikit-learn and SHAP, and a PostgreSQL/SQL/Power BI analytics project based on 1,500 AI and Data job records. — I am looking for Junior/Graduate opportunities in AI Engineering, Machine Learning, Generative AI, Python development or Data.
— Computer Science Master's student and Graduate AI/ML Engineer focused on building practical AI applications with Python. — I have hands-on project experience in Machine Learning, Generative AI, RAG, AI agents and data analytics. — I developed an Agentic RAG application using LangChain, ChromaDB, embeddings, hybrid retrieval, LLM reranking, tool calling and MCP, exposed through FastAPI and containerized with Docker. — I also implemented automated testing with pytest and a GitHub Actions CI/CD pipeline. — My other projects include multimodal emotion recognition using PyTorch and Transformers, machine learning prediction models using scikit-learn and SHAP, and a PostgreSQL/SQL/Power BI analytics project based on 1,500 AI and Data job records. — I am looking for Junior/Graduate opportunities in AI Engineering, Machine Learning, Generative AI, Python development or Data.

Skills

Python
Machine Learning
PyTorch
scikit-learn
LangChain
RAG
FastAPI
Docker
SQL
PostgreSQL
Pandas
NumPy
Git
RAG & LLM Applications

Work experience

AI/ML Engineer – Academic Project
since 07.2025 - Till the present day |Genetic Algorithms Agentic RAG Assistant
Python, LangChain, ChromaDB, Hugging Face, FastAPI, Gradio, MCP, Docker, GitHub Actions, pytest
● Designed and developed an end-to-end Agentic RAG application for document retrieval and question answering. ● Implemented embeddings, vector search, semantic and hybrid retrieval, LLM reranking, tool calling and MCP client/server integration. ● Developed REST APIs with FastAPI, implemented automated tests with pytest, containerized the application with Docker and configured a GitHub Actions CI/CD pipeline for automated testing, image builds and deployment.

Educational background

Computer Science – Artificial Intelligence and Machine Learning
since 2026 - Till the present day
University of Craiova
Computer Science (Bachelor’s Degree)
2023 - 2026
University of Craiova

Languages

EnglishAdvancedSpanishIntermediateRomanianNative