Federico Pardo · AI Research Engineer

About

Completing my PhD in Computer Science at University of Murcia with a thesis on "Enriched Feedback of Classroom Dynamics Using AI." 4+ years working with deep learning, mainly on combining audio and text data.

My work focuses on building AI systems that people can actually understand and use. I care about making systems explainable and deployable in production, rather than just chasing benchmarks.

Currently seeking: Research Engineer roles working on multimodal AI, explainability, or LLMs. Immediately available. Open to international opportunities.

Experience

AI Research Engineer (PhD Candidate)

University of Murcia · May 2023 - Present

Built a microservices system (Python, FastAPI, Docker, Celery) for analyzing classroom recordings using multimodal AI. Created audio processing pipelines combining speech recognition (Whisper), speaker identification, and text analysis (BERT). Used SHAP values to explain model predictions to make the system more transparent. Published a systematic review and 4 research papers on using AI in educational settings.

Cloud Technical Support Specialist (GCP)

Webhelp (Google Cloud Project) · Aug 2022 - Apr 2023

Provided technical support for enterprise clients using Google Cloud Platform. Troubleshot issues with Compute Engine, networking, IAM, and Kubernetes (GKE). Worked with SRE teams to debug production problems in cloud infrastructure.

Machine Learning Engineer

CENTIC (Technological Center) · Jun 2021 - Aug 2022

Deployed a CNN model for real-time defect detection on embedded hardware (98% accuracy, <100ms latency). Built an LSTM model for evaluating text complexity. Managed ETL pipelines for various data types (tabular, image, audio) across R&D projects.

Publications

View my complete publication list on Google Scholar

Enriched Feedback of Classroom Dynamics Using AI

University of Murcia · 2026 · PhD Thesis

PhD thesis on using multimodal AI to analyze classroom recordings and provide feedback to teachers, with a focus on explainability.

View Thesis →

Explaining Teacher Interventions in SRS-Based Classrooms

IEEE Access · Dec 2025 · First Author

Combined text (BERT) and audio features to classify different types of teacher interventions in classrooms.

View Publication →

Audio Features in Education: A Systematic Review

Applied Sciences · Jun 2025 · First Author

Systematic review of 82 studies (2014-2024) on using audio processing in educational research.

View Publication →

Exploring AI Techniques for Generalizable Teaching Practice Identification

IEEE Access · Sep 2024 · First Author

Explored techniques to make multimodal AI models generalize better across different classroom settings.

View Publication →

AI-Driven Teacher Analytics: Informative Insights on Classroom Activities

IEEE TALE · Nov 2023 · Co-Author

Built a system to automatically analyze classroom recordings and generate insights for teachers.

View Publication →

Analyzing Wooclap's Competition Mode with AI Through Classroom Recordings

IEEE RITA · 2024 · Co-Author

Analyzed how student response systems work in real classrooms using multimodal AI.

View Publication →

Get in Touch

Seeking Research Engineer roles in multimodal AI, explainability, or responsible AI development. Immediately available.

federico.pardog@gmail.com LinkedIn Profile GitHub Profile