Jan 2024 – Dec 2025 · 1 yr 11 mos · San Francisco, California, Estados Unidos · Remote

• ● Training Large Language Models (LLMs) with reinforcement learning (RL) using Python, Javascript, Java C++, and SQL with Math, Data Science, Machine Learning, and development techniques.
• ● Proficient in Prompt Engineering and related techniques.
• ● Experienced in Quality Assurance (QA), conducting reviews from L0 to L12 levels for several projects.

Feb 2023 – Dec 2025 · 2 yrs 10 mos · Argentina · Remote

• ● Led data initiatives for a prominent e-commerce site in Latin America. Implemented an ETL (Extraction, Transformation, and Loading) process to integrate data from various sources and applied Exploratory Data Analysis (EDA) techniques using Python and SQL. This analysis provided recommendations to enhance business performance.
• ●Developed classification models to predict loan repayment capacity in the credit risk analysis project, focusing on identifying applicants with potential payment delays. Evaluated model performance using metrics like AUC-ROC.
• ● Executed a project centered on developing an image classification system for dogs using a neural network. The Flask-based application allowed users to input a dog image, receiving the breed and prediction accuracy percentage. This project leveraged technologies such as Docker, Redis, and Python, including load testing with Locust.
• ● Took on the challenge of developing a Machine Learning model to classify car types in images, involving essential technologies like Python, TensorFlow, and Keras for model training and fine-tuning. This project provided fundamental skills in image processing and model tuning, successfully surpassing an 80% accuracy threshold in classification tests.
• ● Tackled analyzing movie reviews using Natural Language Processing (NLP) techniques, working with a dataset of 50,000 movie reviews evenly distributed between positive and negative sentiments. The solution encompassed text normalization, word vectorization, and machine learning model training, using Word2Vec to train word embeddings, resulting in a remarkable model for review classification.
• ●Collaborated with a team of four on the Hospitalization Prediction for the Elderly project, building a unique solution based on a web services API using a Multilayer Perceptron (MLP) neural network model. This system provides an individual's probability of hospitalization based on their health conditions, processing a dataset with over 5255 features.

May 2022 – Dec 2023 · 1 yr 7 mos

• In my role at Rocketpin, I combined technical expertise with leadership to oversee and guide key data-driven projects for renowned clients such as MercadoLibre, P&G, Nestlé, and Farmacity. Acting as a Project Lead, I coordinated multidisciplinary teams to ensure the successful development and delivery of BI dashboards and analytics that addressed client needs and internal business objectives. I facilitated cross-department collaboration, enabling effective visualization and monitoring of strategic metrics. Beyond project oversight, I played a pivotal role in optimizing workflows by managing databases with PostgreSQL and developing automated solutions, including chatbots for client verification and online signatures using Zenvia and Python requests. My leadership approach emphasized aligning team efforts with project goals, ensuring timely and high-quality outcomes that met client expectations.
• ●Created and presented BI dashboards and analytics for clients such as MercadoLibre, P&G, Nestlé, MODO,Farmacity and others. Work with different areas of the company for the visualization of internal metrics.
• ●Managed databases and executed queries using PostgreSQL.
• ●Programmed chatbots for client verification and online signatures using Zenvia and Python requests.
• ●Main Technologies: Python, PostgreSQL, Grafana

May 2022 – Jul 2022 · 2 mos

Jan 2020 – Jan 2022 · 2 yrs · Neuquen, Neuquén Province, Argentina

• ●Developed an e-commerce store for the sale of digital and technological supplies using JavaScript technologies.
• ● Implemented a shopping cart and payment gateway.
• ● More than 400 products sold per year
• ● Main Technologies: JavaScript, React, Html. CSS.