# Ricardo Figueroa

> Senior Software Engineer at Menlo Security Inc.

Location: Spring, Texas, United States
Profile: https://flows.cv/ricardofigueroa

I am a software engineer developing highly scalable web applications. 

On my free time I find myself writing web applications, learning new technologies and solving interesting Computer Science Challenges. Some of the tools and tech stack that I love to work with include Python, Javascript, React, Node.js, Express, HTML/CSS, Postgres, MongoDB/Mongoose.js, Git, Webpack, Docker, Redis, Redux, Cassandra, AWS, Kubernetes, Flask and many more.

## Work Experience
### Senior Software Engineer @ Menlo Security Inc.
Jan 2023 – Present

### Software Engineer @ Menlo Security Inc.
Jan 2021 – Present | Mountain View, California, United States

### Software Engineer @ ByPrice.com
Jan 2019 – Jan 2020
- Developed a customer facing web application that let users monitor products at e-commerce websites that included pricing, and product detail information using Python, Javascript, React, Kubernetes, Google Cloud, AWS Lamda and PostreSQL.
- Developed and managed a cluster of webscrapers/webcrawlers that obtained information from 15> e-commerce websites.

### Software Engineer & Machine Learning Research @ Leanglass
Jan 2019 – Jan 2019
Leanglass

Jan 2019 – Present

Project description
Leanglass, personal project to create an online profile assessment of educational characteristics of a person for marketing and selling purposes:
- Developed an application based on Natural Language Processing that emulates a human's ability to assess a person's quality of writing with a >80% accuracy, outperforming most of published research benchmarks.
- Technologies used: Google BERT NLP (transfer learning), Tensorflow, Python, React, Node js, MongoDB, AWS, Docker, Docker Machine, Styled Components, Scikit-learn.

### Deliverio @ Project
Jan 2018 – Jan 2018
Deliverio is an application that solves the vehicle routing problem (VRP).  Given a fleet, it is required to cover the demand of a set of delivery points efficiently. Starting at the same depot, each truck makes a round trip hopping on a subset of the delivery points. The goal is to minimize the overall distance. This is a generalization of the Travelling Salesman Problem (TSP) making it an NP-hard problem.

Technologies used:
- Google Maps API
- Docker
- React Native
- Node js
- Express
- Redis
- PostgresSQL

### Senior Analyst @ Northgate Capital
Jan 2015 – Jan 2017 | Mexico City Area, Mexico

### Investment Banking Analyst @ VACE Partners
Jan 2012 – Jan 2014 | Mexico City Area, Mexico


## Education
### Master's degree in Computer Science
Instituto Tecnológico Autónomo de México
Jan 2017 – Jan 2019

### Software Development
Hack Reactor
Jan 2018 – Jan 2018

### Bachelor's degree in Industrial Engineering
Instituto Tecnológico Autónomo de México
Jan 2008 – Jan 2013


## Contact & Social
- LinkedIn: https://linkedin.com/in/ricardo-figueroa-r
- Website: https://www.rfiguerordev.com

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Source: https://flows.cv/ricardofigueroa
JSON Resume: https://flows.cv/ricardofigueroa/resume.json
Last updated: 2026-03-22