David Rodriguez

Blind-spot

February 2025 - May 2025

• Designed and optimized an end‑to‑end agent pipeline for the Blind Spot application, capturing real‑time camera frames, and feeding into a Google Gemini‑powered LangChain model, achieving 95% uptime in production.
• Engineered and containerized a scalable Flask/Gunicorn backend on Render, continuous deployment, while implementing request‑level caching, history‑aware prompts, and secure API‑key’s to support concurrent users.

Food Chain

October 2024 - December 2024

• Implemented a classification model by using Tensorflow with around a 70 percent success rate to perform food classification in order to inform users of what it is they are eating from a database of a variety of foods found most common in the United States.
• Trained the model with a database over 100 classes with a total of 100,000 images, trained the model on a variety of data implementing advanced training techniques to ensure the model was accurate and acceptable.
• Applied a Retrieval Augmented Generation (RAG) inside the application tied to a database of thousands of authentic recipes to provide users with recipes based on their query, combined 2 features to create a system of classification and Al and data driven creation.

Research, Support Intern at Kapitus

New York, NY | July 2025 - August 2025

• Selected for a competitive internship as a Research and Support Intern, liaise with stakeholders and offshore teams, assist the Capital Markets team in establishing and executing month-end workflows promptly, develop presentations for senior management detailing potential cost savings from future banking relationships.
• During the time the skills developed are, Project management, Team collaboration, Basic Financial markets, Excel modeling, Data analytics, by working with various senior teams at the company to understand the industry company.

Data Science Fellow at CUNY Tech Prep

New York, NY | July 2024 - May 2025

• Selected for a competitive data science fellowship with students from across the 11 CUNY senior colleges where Fellows create technical projects using tools such as Python 3, Jupyter Notebooks, Pandas, Numpy, Scikit-learn, and SQL.
• Participate in weekly courses and learn industry best practices for exploratory data analysis (EDA), feature engineering, data collection and processing, statistical modeling, data visualization, machine learning techniques, data science process, and big data.

Council Member/Senator at Brooklyn College Undergraduate Student Government

Brooklyn, NY | September 2024 - Present

• Coordinated with a specialized council for club registration, and helped oversight approval processes for student organizations, ensuring compliance with university policies and existing clubs.
• Work with other USG Senators to create a better campus environment for thousands of students while ensuring a proper schedule and workflow is consistent and clear.

Marketing Ambassador at Codepath

Brooklyn, NY | April 2025-August 2025

• Coordinate events and recruiting events within Brooklyn College to help spread the word about CODEPATH and the services they provide computer science students for free around the United States.
• Introduce Computer Science Students at Brooklyn College to industry events and resources to help grow the careers and toolset of Computer Science students at one of many CUNY Colleges.