I work on applied AI projects focused on data analysis and real-world implementation. MSc in AI at UdeSA. Based in Buenos Aires.
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KMeans clustering + Logistic Regression on neuroimaging-derived features for ASD spectrum classification. Developed during an international BrainHack workshop.
Bidirectional LSTM predicting next-day MERVAL direction using Reddit sentiment. Hyperparameter-tuned with Optuna, validated with walk-forward cross-validation.
End-to-end Bronze→Silver→Gold pipeline with 29 automated data quality tests. dbt over DuckDB for modeling, Airflow for orchestration.
LLM-powered editorial pipeline that generates and publishes daily Telegram posts about the Argentine national team. Custom anti-repetition RAG system, runs daily via GitHub Actions.
Gamified philosophy learning app à la Duolingo. Themed islands, missions with interactive theory and quizzes, XP and daily streaks. Next.js 16 + Supabase + Tailwind v4.
REST payments API with explicit state machine, unit + integration tests, GitHub Actions CI, and auto-deploy to Render.
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AI instructor, academic researcher, and public speaker at the intersection of cognitive science and machine learning.
AI in Psychology & Neurosciences
Humai · 2023–present
Teaching AI applications for clinical and research settings in psychology and neurosciences.
AI in Mental Health Workshop
Fundación Foro · 2025
Practical workshop on AI tools for mental health professionals.
AI in Psychology
UCCuyo · 2025
AI Tools
Humai · 2024
Social Psychology (Adj. Professor)
Universidad Favaloro · 2024–2025
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I'm a Data Scientist with an unusual background: I hold a degree in Psychology with a specialization in Neurosciences (Universidad Favaloro), and I'm currently completing a Master's in Artificial Intelligence at UdeSA. That combination shapes how I design products and research.
My core interest is the intersection of AI and mental health, using machine learning to make sense of brain signals, clinical data, and behavioral patterns. I've co-authored indexed publications in Neuroscience and Behavioral Science, and I actively teach AI for psychology and clinical settings.
Today I work as Neuroscience and AI Specialist at Humai, leading educational strategy and advanced AI training. I'm also a freelance data analyst at Universidad Favaloro's Vocational Psychology department, which keeps me close to both production systems and applied research.
Technically I live in the space between Data Engineering (pipelines, dbt, Airflow), Applied ML (PyTorch, LLMs, RAG), and product (Next.js, FastAPI). I care about code that ships, and documentation that helps the next person understand why.
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Open to remote or relocation. Roles in Data Science, AI, and ML Research.