Leonardo Antonio Maydana Email & Phone Number

California, Estados Unidos

• Company specializing in developing foundational models, offering AI solutions for large enterprises.
• Compare and analyze outputs of various LLMs under training.
• Improve LLM responses for code generation, Q&A, and other objectives.
• Handle implicit code execution: Develop necessary code for prompts requiring additional code routines.
• Test prompts to identify failures during the Q&A process.
• Create prompts for training datasets, focusing on model weaknesses identified by customers.

Argentina

• Managed and analyzed revenue, delivery metrics, and customer behavior for a leading Latam e-commerce site. Built and maintained an ELT data pipeline, processing information from CSV files and APIs. Utilized SQL queries.
• Developed and implemented a credit risk scoring model using machine learning techniques (Decision Tree, XGBoost, LightGBM) to analyze over 350,000 transactions and predict creditworthiness. Preprocessed and visualized.
• Developed and deployed high-performance Machine Learning APIs using Docker. Designed APIs for image classification tasks (e.g., predicting product content, vehicle make/model), achieving accuracy scores exceeding 80%..
• Developed a deep learning model using convolutional neural networks (CNNs) to predict vehicle make and model from unstructured e-commerce images. Achieved over 82% accuracy on a dataset of 196 classes through data.
• Developed and implemented a sentiment analysis model to categorize movie reviews for a streaming service. Preprocessed and vectorized text data using techniques like Bag-of-Words (BoW), TF-IDF, and word embedding.
• Developed and implemented machine learning models (XGBoost and LightGBM) to predict taxi fare and travel time. Developed and implemented high-performance machine learning APIs using Docker Compose.

Argentina

Análisis y corrección de errores sobre las bases productivas

Ingeniería, Ingeniería Industrial

Education record

Diplomatura En Logística

Incorpore conocimientos y herramientas necesarios que permiten gestionar de manera eficiente recursos humanos, físicos e informáticos.