Nicolas Fierro

Delivering AI solutions at scale for global clients in manufacturing, logistics, and mining. - Designed time series forecasting models (LSTM, TSMixer, PatchTST) to optimize chemical usage in industrial processes, supporting real-time monitoring through production dashboards. - Developed an end-to-end workforce optimization system using predictive modeling, significantly improving labor allocation efficiency. - Explored Generative AI use cases, including multimodal RAG systems and AI agents via LangChain and LangGraph. Tech stack: Python, PyTorch, TensorFlow, Terraform, LangChain, LangGraph, Git; GCP (Vertex AI, BigQuery, Cloud Functions, GCS, IAM).

Co-developed an AI-powered ECG diagnostic system to support remote triage in underserved regions. Built Acceptance/Rejection models and a Myocardial Infarction (MI) detection algorithm using computer vision on ECG spectrograms, achieving 94% accuracy on production data. Designed and implemented a U-Net architecture for dense segmentation of time series signals.

Led 7 e-commerce data analysis missions, improving product classification with REGEX and visualized results using Tableau, achieving over 80% accuracy, frequently reaching 100 in specific product categories.

Development and implementation of the Human Following system for the solystic’s robot (Soly). To give to Soly the capacity of following an specific storage worker, I developed different algorithms such as: Recognition and tracking of the target human, Command and Control Systems. Using LIDAR and Camara as sensors and the SLAM anti-collision mechanism. This application allows an improvement in the distribution and location of products in large warehouses, thus achieving a better delivery capacity.

Logistics

Graduated with Highest Honours - 7.0/7.0 GPA, ranking 1st out of 43 students Thesis: https://repositorio.uchile.cl/handle/2250/202865 Ranking: https://drive.google.com/file/d/1_c-lBLcnd6B1n1UFNMG9e7kuaYwDnp2H/view?usp=sharing Relevant coursework: Neural Networks and Information Theory of Learning, Digital Processing of Images, Evolutionary Computation, Speech Processing, Robotics, Sensing and Autonomous Systems.

Top-level french engineering school, Paris-Saclay University Relevant Coursework: Machine Learning, Programming Project, Information Systems and Programming, Algorithms and Complexity, Networks and Security, Signal Processing, Advanced Statistics, Optimization.

Graduated with Highest Honours - 7.0/7.0 GPA, ranking 1st out of 130 students Thesis: https://repositorio.uchile.cl/handle/2250/202865 Ranking: https://drive.google.com/file/d/1WCd5E9wEsxKCddkP2knrY0mDicC6ueNw/view?usp=sharing Relevant coursework: Introduction to Data mining, Computational Intelligence, Deep Learning, DSA, Design and Programming Methodologies, Laboratory of IT, Laboratory of Computational Intelligence and Robotics