Ricardo Payares

Software Engineer, Solutions Designer

rpayaresswe@gmail.com

Jersey City, NJ

Summary

Motivated software engineer and solutions designer with a strong foundation in coding, testing, and software development. Passsionate about equitable solutions, innovative technologies, and developing scalable, elegant solutions to tackle real-life complex challenges for marginalized groups. Career aspirations include contributing to impactful projects in finance, healthcare, and entertainment.

Experience

Software Engineer

Bloomberg LP

6/2022 - 10/2024

Built scalable solutions for electronic market making using JavaScript, C++, and Python, leveraging the proprietary Rapid framework for UI development.
Subject matter expert in formula parsing, calculations, and data architecture within trading systems.
Experienced in real-time, low-latency trading systems, market data feeds, order routing, and regulatory compliance.
Contributed to ETOMS Sell-Side Front Office, which has won consecutive awards for optimizing complex trading workflows.

Projects

Custom Formula Simulator & Alias Manager

Fullstack Development - Bloomberg LP

6/2022 - 10/2024

Developed a simulator for testing custom formulas, implemented aliasing for streamlined formula management, and created a recall system for performance optimization.
Expanding aliasing to support custom pricing models, optimizing alias lookup, and continuously improving functionality based on user feedback.
Gained deep insights into the internal technology stack during pre-training, enabling valuable enhancements and long-term contributions to electronic trading systems.
Served as an internal subject matter expert for the Custom Formula Engine.

Bendwell

Fullstack Development - Fullstack Academy

3/2022 - 4/2022

Led the development of BendWell, an AI-powered platform revolutionizing physical therapy with real-time exercise feedback.
Implemented TensorFlow.js, PoseNet, and Google’s Teachable Machine for pose estimation and custom machine learning models.
Built a robust backend for real-time movement analysis, optimized models for low-latency performance, and ensured secure data handling.
Provided personalized stretching routines, real-time feedback on form, and an accessible solution to combat sedentary lifestyle issues.

SpeakSign

Rapid Assembly and Design - NYU Tandon

9/2018 - 12/2018

Developed SpeakSign, a Python-based program using computer vision to translate sign language into spoken audio in real time.
Utilizes image processing and machine learning algorithms to recognize and decode hand gestures.
Promotes inclusivity by enabling seamless communication between the deaf and hearing communities.
Earned a top 2 placement in NYU Tandon’s Rapid Assembly and Design Challenge for its impact on assistive technology.