Programming: Python · Assembly · Java · C · C++ · C# · JavaScript · Haskell · Kotlin
AI & Data: Computer Vision · Deep Learning · Machine Learning · PyTorch · TensorFlow · scikit-learn · OpenCV · Stata
Data & Cloud: SQL · NoSQL · AWS · Microsoft Azure · Oracle Cloud · DevOps · Git · Docker

I’m an Artificial Intelligence Engineering student at Universidad de San Andrés (UdeSA) in Buenos Aires, Argentina (GPA 10.0/10.0).
I build end-to-end systems across Computer Vision, time-series ML, and blockchain-backed product infrastructure.

• Universidad de San Andrés (UdeSA) — Buenos Aires, Argentina
  Artificial Intelligence Engineering · GPA: 10.0/10.0 · Mar 2023 – Present

CTO · May 2025 – Present

• EC-Based MRV: Built a measurement, reporting and verification (MRV) pipeline combining Eddy Covariance towers and satellite imagery to estimate CO₂ removal for agricultural projects, using SOTA AI models.
• Blockchain Tokenization: Implemented an Ethereum-based blockchain network to tokenize carbon credits, implementing mint, transfer and burn logic so credits are traceable and immutable.

AI Engineer · Aug 2024 – Oct 2025

• Computer Vision for QA/QC: Designed and deployed computer vision pipelines with factory cameras.

AI Engineer Intern · Jan 2024 – Feb 2024

• Performance Models: Developed ML models to predict performance from time-series data in real time.

Teaching Assistant · 2024

• Course Support: Assisted in the course Introduction to Programming.

• Alethia Carbon Credits Platform (2025 – Ongoing): End-to-end platform for on-chain scientifically-verified carbon credits. Built data ingestion pipelines from EC sensors and satellite imagery, implemented uncertainty-aware flux estimation models, and integrated the results with a smart-contract backend and a web dashboard.
• Bike Demand Forecasting (2025): Developed a Graph Attention Neural Network to predict the arriving bikes at each station in Buenos Aires 30 minutes ahead, using temporal, weather and spatial features. Engineered explanatory variables and applied dimensionality reduction techniques to handle highly imbalanced and high-dimensional data.
• Gomoku AI Agent (2023): Implemented Minimax and Negamax agents with custom threat-evaluation heuristics.
• Embryo ViT-MAE Research Project (2025 – Ongoing): Implemented masked autoencoders and video transformers (ViT-MAE, VideoMAE) to learn low-dimensional representations of embryo development videos, with the goal of improving downstream classification and prediction tasks using independent heads.

• Perfect University GPA: First and Second Year Best Student Award with a perfect 10.0/10.0 GPA.
• 1st place ITBA Hackathon 2024: Led a team that won 1st place at the HackITBA ’24.
• 1st place ITBA GameJam 2023: Designed and implemented a complete game in under 48 hours.
• ICPC Regional Finalist (2024 & 2025): Qualified as a Regional Finalist in the International Collegiate Programming Contest for two consecutive years.
• Co-Founder, UdeSA Competitive Programming Club: Co-founded the competitive programming club at Universidad de San Andrés, growing it to 100+ active members, organizing classes and practice sessions, and helping UdeSA become the Argentine university with the highest number of teams qualifying to the next ICPC stage and the one with the largest number of all-female teams.
• Speaker, Mentor & Judge — Youth Diplomats AI Lab: Helped 50+ participants understand AI concepts to inform future legal and regulatory decision-making around artificial intelligence.

• Native Spanish
• Proficient English
• Basic Portuguese
• Basic Italian

• Email: facundovcanale@gmail.com
• LinkedIn: https://linkedin.com/in/facuvcanale/