Available to hire
Hi, I’m Vasiliki Papadouli, a passionate AI engineer and researcher currently pursuing my Master’s in Computer Science at the Technical University of Munich. I have a strong background in electrical and computer engineering and enjoy developing AI models that improve user experiences, especially in automotive applications. I love working on projects involving machine learning, deep learning, and large language models, and I always strive to bring creativity and efficiency into my work.
Beyond my technical skills, I am a curious and dedicated learner who enjoys collaborating with teams and exploring innovative AI solutions. I am excited to continue growing my expertise and contributing to impactful projects that blend technology and real-world applications.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Language
English
Fluent
French
Intermediate
German
Beginner
Greek, Modern
Fluent
Work Experience
AI Engineer Master’s Thesis Student at BMW Group
June 30, 2025 - July 29, 2025Lead the development of an AI model to enable a voice assistant to proactively offer recommendations in cars. Developed a data collection and preprocessing pipeline with real-time labeling interface using FastAPI. Trained and fine-tuned AI models including CNN (TensorFlow), Transformer (PyTorch), and LLM (HuggingFace) on time-series vehicle data. Benchmarked models against rule-based methods, achieving nearly 2x better performance. Deployed the best model with quantization for hardware constraints and conducted human evaluations.
AI Software Engineer Intern at BMW Group
October 31, 2024 - July 29, 2025Contributed to the Interior Personal Assistant research team by deploying large language models for text-generation tasks. Tested OpenAI models against resource-efficient HuggingFace models. Implemented advanced techniques such as Retrieval-Augmented Generation (RAG) and prompt engineering strategies including Chain-of-Thought reasoning and Few-Shot Prompting.
NLP Engineer at Fast AI Movies
February 28, 2024 - July 29, 2025Fine-tuned large language models like Flan-T5 and Mistral for keyword generation, reaching an F1-score of 0.85. Also fine-tuned a Stable Diffusion model for generating icons from keywords using HuggingFace frameworks.
Teaching Assistant at University of Thessaly
July 31, 2022 - July 29, 2025Provided teaching assistance for courses ECE417: Machine Learning and ECE518: Statistics.
Research Scientist at University of Thessaly
July 31, 2022 - July 29, 2025Worked on business failure and insolvency prediction for Greek companies. Developed statistical and machine learning models for bankruptcy prediction using supervised, semi-supervised, and transfer learning techniques (TensorFlow, Scikit-learn), achieving 89% accuracy. Published research on bankruptcy prediction for small and medium-sized Greek enterprises using imbalanced data.
R&D Engineer Intern at Netcompany-Intrasoft
September 30, 2021 - July 29, 2025Conducted data preprocessing and trained neural networks for time series forecasting to predict tool wear, using TensorFlow.
AI Engineer Master’s Thesis Student at BMW Group
June 30, 2025 - August 1, 2025Developed a data collection, cleaning, and preprocessing pipeline of vehicle signals with an interface (FastAPI) for real-time labeling. Trained and fine-tuned AI models including CNN in TensorFlow, Transformer in PyTorch, and LLM in HuggingFace using time-series data. Benchmarked models against Rule-Based and Context-Change Detection methodologies, achieving nearly 2× better performance with AI models. Deployed the best AI model in the car using quantization to meet hardware constraints and conducted human evaluation.
AI Software Engineer Intern at BMW Group
October 31, 2024 - August 1, 2025Member of the IPA (Interior Personal Assistant) Research team. Deployed LLMs for text-generation tasks, comparing OpenAI models with resource-efficient HuggingFace models. Utilized advanced techniques such as Retrieval-Augmented Generation (RAG), Chain-of-Thought (CoT) reasoning, and Few-Shot Prompting to enhance performance.
NLP Engineer at Fast AI Movies
February 29, 2024 - August 1, 2025Fine-tuned large language models using HuggingFace for keyword generation, including Flan-T5 and Mistral, achieving an F1-score of 0.85. Generated icons from keywords by fine-tuning a Stable Diffusion model from HuggingFace.
Teaching Assistant at University of Thessaly
July 31, 2022 - August 1, 2025Assisted teaching for courses in Machine Learning and Statistics (ECE417 and ECE518).
Research Scientist at University of Thessaly
July 31, 2022 - August 1, 2025Worked on a project predicting business failure and insolvency of Greek companies funded by the European Union. Developed statistical and machine learning models for bankruptcy prediction using supervised, semi-supervised, and transfer learning techniques, achieving 89% accuracy. Published research on bankruptcy prediction using imbalance data.
R&D Engineer Intern at Netcompany-Intrasoft
September 30, 2021 - August 1, 2025Handled data preprocessing and trained neural networks for time series forecasting for tool wear prediction tasks using TensorFlow.
Education
M.Sc. in Computer Science at Technical University of Munich
January 1, 2022 - December 31, 2025M.Eng of Electrical & Computer Engineering at University of Thessaly
January 1, 2017 - December 31, 2022M.Sc. in Computer Science at Technical University of Munich
January 1, 2022 - December 31, 2025M.Eng of Electrical & Computer Engineering at University of Thessaly
January 1, 2017 - December 31, 2022Qualifications
State Scholarships Foundation Award
July 1, 2021 - July 1, 2021"LILIAN VOUDOURI" Foundation Academic Excellence Award
July 1, 2022 - July 1, 2022State Scholarships Foundation Award
July 1, 2021 - July 31, 2021"LILIAN VOUDOURI" Foundation Academic Excellence Award
July 1, 2022 - July 31, 2022Industry Experience
Computers & Electronics, Software & Internet, Transportation & Logistics, Manufacturing, Education, Financial Services
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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