Curriculum Vitae

Andrea Zignoli

AI Sport Tech Consultant · Verona, Italy

Full CV2-page résumé

Current Clients

Apr 2024 – Present
Athletica.ai

AI-driven training platform

Modelling, feature design, backend development

Dec 2024 – Present
Tyme Wear

Wearable tech

Deep learning models, backend solutions

Previous Clients

Jan 2025 – Jun 2025
Enhance-d

T1D training & CGM platform

Agentic frameworks, backend systems

2021 – 2024
Supersapiens

CGM for athletes

Data analysis, algorithm development, scientific writing

Technical Stack

Languages & Frameworks

  • ·Python (10+ yrs) — Pandas, scikit-learn, TensorFlow/Keras, FastAPI, Flask
  • ·R — dplyr, ggplot for statistical analysis
  • ·Matlab/Maple — numerical simulations, symbolic computation

AI & ML

  • ·Deep Learning — LSTM, CNN, time-series models
  • ·LLM Pipelines — Claude Code, agentic frameworks, RAG
  • ·First-principles modelling — differential equations, optimal control

Deployment & DevOps

  • ·Docker, AWS Lambda, Heroku, Lightsail
  • ·API development — FastAPI, Flask, Tornado
  • ·Git workflows — GitHub, GitLab, Bitbucket

Signal Processing

  • ·Time- and frequency-domain analysis
  • ·Filter design, power spectrum analysis
  • ·Physiological data: CPET, EMG, power meters, CGM

Research Background

2017 – 2021

Post-doctoral Researcher

University of Trento

Sport performance modelling with Prof. F. Biral and Prof. P. Bosetti

2016 – 2017

Post-doctoral Researcher

Yokohama National University, Japan

Rehabilitation robotics with Prof. T. Shimono

2012 – 2016

Doctoral Researcher

University of Verona

Exercise physiology and performance analysis with Dr. B. Pellegrini

Education

2016

Ph.D. Sports Science

University of Verona

2011

M.Eng. Mechatronics

University of Trento

2009

B.Eng. Industrial Engineering

University of Trento

Service

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Associate Editor — Sports Engineering (Springer)

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Peer Reviewer — Multiple top-50 sports science journals