Experience

  1. AI Research Scientist Intern

    Meta FAIR
    I work within the Omnilingual Machine Translation team to expland the language coverage of MT systems well beyond their current capacity.

  2. AI Research Scientist Intern

    Apple
    Contributed to the Machine Translation team within the AI/ML division, primarly focused on Prosody Evaluation and Speech Translation. My research, which was published in WMT 2024, showed that although current state-of-the-art Speech Translation systems do have a understanding of prosody, they rarely leverge it in practice, indicating significant room for improvement.

  3. AI Research Scientist Intern

    Dolby
    Conducted research on Audio-Visual Representations and Contrastive Learning. Also contributed to a project on Video-to-Audio Generation. The corresponding research papers were published at ICASSP 2025 and ECCV 2024.

  4. AI Research Scientist Intern

    Zeta Alpha
    This internship was part of my MSc thesis. I worked on passage ranking and answer style transfer for complex question answering using transformer-based models.

  5. Financial Analyst Intern

    Eurobank
    My work during this internship focused on analyzing financial statements, adjusting funding limits and evaluating business plans of local businesses in Athens.

Education

  1. PhD in Artificial Intelligence

    UPC Barcelona
    Supervised by José A. R. Fonollosa and Marta R. Costa-jussà, I researched several topics within Speech Translation, including speech segmentation, data augmentation, efficiency inference, transfer learning, and zero-shot learning, and published in top-tier conferences including ACL, EMNLP, ICASSP, and InterSpeech.

  2. MSc in Artificial Intelligence

    University of Amsterdam
    Graduated cum laude with a GPA of 8.3/10. Through advanced elective courses, I specialized in sequence modeling, deep learning, transformers, and NLP. Thesis: Complex Question Answering by Pairwise Passage Ranking and Answer Style Transfer.

  3. MSc in Quantitative Finance

    VU University Amsterdam
    GPA: 7.7/10. My thesis titled “An ensemble of Recurrent Neural Networks for high-frequency stock market classification” lead to a publication in the Journal of Forecasting.

  4. Diploma in Accounting and Finance

    Athens University of Economics and Business
    GPA: 7.1/10 with a specialization in Quantitative Analysis and Financial Modeling.
Skills
Technical
Development

Python, PyTorch, Bash, Git
Libraries

HuggingFace, fairseq2
High-Performance Computing

slurm, FSDP, mixed-precision training
Large-scale Data Processing

parquet, pandas, numpy, polars
Theoretical
Foundations

Linear Algebra, Probability Theory, Machine Learning, Deep Learning, Neural Networks
Architectures

RNN, CNN, Transformer, Perceiver, LDM, GPT, BERT, LLaMA
Domains

NLP, Speech, Audio-Visual, Time Series
Techniques

Self-supervised Learning, Contrastive Learning, Transfer Learning, Reinforcement Learning, Zero-shot Learning
Teaching Experience

Artificial Intelligence with Deep Learning (M.Sc.)

2022, 2023, 2024

UPC School of Professional and Executive Development — Barcelona, Spain

Coordinated the lectures and the practical labs for the sequence-to-sequence modeling and NLP. → Course Page

Machine Learning for the Quantified-Self (M.Sc.)

2018, 2019, 2020

VU University Amsterdam — Amsterdam, The Netherlands

Supervision of practical labs, assisting students with python and ML questions, grading assignments and final exams. → Course Page

Introduction to Data Science (B.Sc.)

2019, 2020

VU University Amsterdam — Amsterdam, The Netherlands

Supervision of practical sessions, grading assignments and final exams. → Course Page

Academic Supervision

Investigating Dropout in Encoder-Decoder Transformers

2023

BSc Thesis Supervisor for Pol Rosinés Pozo at Universitat Politècnica de Catalunya
→ Thesis PDF

Context-Aware Speech Translation

2022

BSc Thesis Supervisor for Miquel M. de Morentin Cardoner at Universitat Politècnica de Catalunya
→ Thesis PDF

Music Generation with Deep Learning

2022

Research Project Supervisor for Pau Lozano García at Universitat Politècnica de Catalunya

Academic Service
  • Program Committee Member: International Conference on Spoken Language Translation (IWSLT)
  • Reviewer: ACL Rolling Review, ICASSP, Interspeech, and various ACL-affiliated venues

Projects

AI DJ Project | 2021

This project features an AI DJ system designed to perform a collaborative back-to-back set with a human artist. Uniquely, the system is sound-agnostic; it uses a language model to understand the sentiment of YouTube comments to find songs with a similar "feeling" to the recent track history. The project was showcased at the various events including S+T+ARTS Festival in Barcelona and Sonar+D in Lisbon.

Awards
Cum Laude Honors
University of Amsterdam ∙ August 2020
Awarded for high academic achievement in the M.Sc. in Artificial Intelligence program.
Languages
100%
English
100%
Greek
25%
Spanish
25%
German