Federico Ramirez Email & Phone Number

Boston, MA, US

San Francisco, US

• Evaluate code produced by large language models, conducting thorough reviews and prompt engineerings techniques to identify areas for improvement in terms of readability, efficiency, and adherence to coding standards.
• Recently transitioned into a dual role where I collaborate with ChatGPT to refine and optimize generated code snippets, ensuring they meet specific project requirements and quality standards set by our team.

Rio De Janeiro, Rio De Janeiro, BR

• Achieved efficient reallocation of company bases for addressing emergencies and routine maintenance by implementing a targeted approach to optimize base placement, reducing average drive time by 10%-40% to emergency.
• Extracted real-world data from OpenStreetMap files to inform decision-making by developing a modified k-means clustering algorithm, utilizing networkx, pyrosm, geopandas to analyze and modify data for precise base.

New York, NY, US

• Developed advanced predictive models for NASCAR odds using a combination of regression techniques and neural networks by implementing machine learning models in PyTorch and scikit-learn, enhancing the accuracy and.
• Spearheaded data generation by utilizing web scraping techniques (selenium and beautifulsoup) and synthesizing metrics to quantify driver strength and played a pivotal role in creating a robust dataset, contributing to.
• Collaborated on the production of the MLB model, contributing insights that improved efficiency and facilitated the gathering of more complete data.

• Conducted in-depth analysis of churn and retention rates for audio messages on Messenger and Instagram platforms by leveraging SQL to query billions of data points and performed regression analyses, gaining insights.
• Played a key role in the analysis of newly released "Soundmojis" on the Messenger platform, providing valuable insights through initial data analyses and applying regression techniques to understand user engagement.

• Implementing third party libraries such as simdjson and simdcsv
• Implementing parquet file format splitter tool
• QA in Python (debugging and modernizing previously existing testing infrastructure)

Houston, Texas, US

• Developing and debugging a field-test strategy and system for Skylark’s wireless 5G broadband system.
• Collecting and validating test-drive data from the field