Richard Torres

Richard Torres Email and Phone Number

Engineering Manager @ Airbnb
Kirkland, WA, US
Richard Torres's Location
Greater Seattle Area, United States
Richard Torres's Contact Details

Richard Torres phone numbers

About Richard Torres

I’ve been fascinated with computers for as long as I can remember (maybe even before that, really). My early interest was driven by a desire to install video games on my family PC. From there, I started collecting old computers and parts from family and friends, piecing them together to try and make even more powerful machines. I started my career pursuing my secondary passion: writing. After a bit of time blending my skills as a web content writer, I realized that I wanted to work on software directly. I spent a few months teaching myself to code, and reached out to some connections to ask for a chance to prove myself as an intern. I was given a chance, and haven’t looked back since.I have now had the opportunity to work on a variety of software projects and teams of all sizes. I enjoy learning new things and building amazing software, so I consider myself technology agnostic. The end user doesn’t care what your stack is, as long as the software you create is great! That said, I have experience in: -Python for both server side applications and client libraries-Javascript (ES6, NodeJS) on both server and in the browser -Web technologies - HTML, CSS, HTTP, REST, GraphQL, MVC-Containerization (Docker) -Version control (Git)-Big data applications (Presto, Hive, Spark)-Scrum, Kanban (certified CSM)In addition to my technical skills, I also specialize in product and feature management, and I enjoy putting effort into understanding use cases and requirements. I believe that software is a tool to get things done, so I focus on understanding the things that need doing.

Richard Torres's Current Company Details
Airbnb

Airbnb

View
Engineering Manager
Kirkland, WA, US
Website:
airbnb.com
Employees:
57741
Richard Torres Work Experience Details
  • Airbnb
    Engineering Manager
    Airbnb
    Kirkland, Wa, Us
  • Apple
    Engineering Manager, Data Productivity Platform
    Apple Jun 2022 - Present
    Seattle, Washington, United States
  • Apple
    Senior Software Engineer
    Apple Oct 2021 - Jun 2022
    Seattle, Washington, United States
  • Netflix
    Senior Software Engineer - Data Platform
    Netflix Jul 2017 - Aug 2021
    Los Gatos, California
    My primary goal as an engineer on Netflix's Data Platform is to help connect Netflix employees with the data they need to drive business decisions. This involves connecting people of all technical skill levels to the data itself, as well as building tooling for our data engineers and data scientists to effectively produce and curate data sets. Some specifics of this work include a Python library that integrates with data pipelines to run data quality checks. This increases the curators confidence that their pipelines are running correctly and increases the consumer's confidence that the data they are consulting is correct. I'm also actively involved in building and maintaining the web application that is the company destination for all things big data at Netflix. This application is a GraphQL API built in NodeJS.
  • Netflix
    Software Engineer - Machine Learning Infrastructure, Content Planning
    Netflix Jan 2017 - Jul 2017
    My first project at Netflix was to rebuild a web service for hosting a set of machine learning models. The original application was difficult to use, particularly for data scientists to deploy new sets of models. The data scientist was responsible for multiple configuration options and deploying new models caused downtime and were difficult to test. This application also had issues with scale, as the models it was hosting became more widely used. I rebuilt this application and greatly improved the deployment process, allowing data scientists to iterate on new models much faster, with no downtime for deployment of new models. I created a workflow that allowed them to deploy their new models to isolated instances and test them with production input, before seamlessly promoting them to the production web server. I also increased the scalability of the application to meet the new demand, with a 3x decrease in request latency under heavy load. This work informed the design of a generic solution to this problem, which I went on to build with the Machine Learning Infrastructure team. Together, we designed and built a service that allowed any Data Scientist at netflix to deploy a machine learning model to an HTTP web service. This service is now running hundreds of ML models powering a variety of real time machine learning and data applications.
  • Friendbuy - Referral Marketing Platform
    Interim Head Of Product
    Friendbuy - Referral Marketing Platform Jul 2016 - Dec 2016
    Greater Los Angeles Area
    I took on the Head of Product role as an interim while Friendbuy looked to fill this role permanently. I had a combination of interest and skill in several key areas that lent themselves well to filling this role. In this role I contributed several meaningful processes and functions:- I evaluated and chose tooling for tracking our backlog- I created a process for feature requests from sales, account managers, and customer support- I developed and lead a process for backlog grooming and prioritizing features- I participated in user research and user interviews, helping our product designers and account managers identify feature requests- I wrote technical specifications for features as well as high level user stories- I helped create the job description for the permanent Head of Product Role- I participated in the interview process that ultimately lead to hiring for this role. - In combination with my role as lead engineer, I lead scrum ceremonies and planned work around the features and backlog that I built for the product.
  • Friendbuy - Referral Marketing Platform
    Software Developer - Team Lead
    Friendbuy - Referral Marketing Platform Feb 2015 - Dec 2016
    Los Angeles
    I completed my Scrum Master certification and introduced scrum methodologies to the software team at Friendbuy. I managed all scrum ceremonies, established a product backlog, lead regular retrospectives, planning sessions and product ideation meetings. I actively developed features across multiple aspects of the technology stack. I was personally responsible for the development of several new products and features to our core platform. I spearheaded a hiring effort and built a candidate pipeline for multiple roles within the Friendbuy organization. Visiting conferences, local meet up groups, and using online forums, I created awareness for Friendbuy's job openings within the developer community. I also owned a Stack Overflow job posting effort, where I managed incoming candidates and built out both our company profile and our job listings.
  • Deep 6 Analytics
    Software Developer
    Deep 6 Analytics 2014 - Feb 2015
    Pasadena, California
    At Deep6 AI, I worked on a small team of software engineers and mathematicians to build AI products for a variety of applications. We used the kanban method to manage work and built most of our software in Python (Flask). I got more exposure to machine learning and big data technologies, and my experience and skill set also expanded to basic server administration and security.
  • Discovix, Inc
    Software Engineer
    Discovix, Inc May 2013 - 2014
    Greater Los Angeles Area
    As a full time software engineer at Discovix, I continued my work on our core product. The team also began development of new software applications. This gave me the opportunity to see new software products being designed and I gained some valuable experience participating in the product development process. I worked with the founder and product manager to wire frame user interfaces and write technical requirements for new products and features. Our new products were built in the JVM using Groovy on Grails as an MVC. I learned more about API design, databases, SQL, Apache HTTP server, Junit testing, and various other web technologies.
  • Discovix, Inc
    Software Engineer - Intern
    Discovix, Inc Jan 2013 - May 2013
    As an intern at Discovix, I learned how to code by doing. Discovix was a small startup with a fascinating machine learning product designed to help sort documents based on relevance. I had the opportunity to work alongside mathematicians and experienced software engineers to build the web application and UI that would drive the machine learning models. I worked primarily in the JVM building the API (a Java Spring application) and on the front end using standard web technologies (HTML, CSS, Javascript). I learned the foundations of web and API development as well as version control best practices, SCRUM, Unit Testing (JUnit) and got a taste of more specialized big data and machine learning tools.
  • Autoshepherd
    Social Media Manager
    Autoshepherd Aug 2010 - Aug 2012
    I was responsible for all Social Media outlets including Facebook, Twitter, Youtube. I had a wide variety of projects and roles at AutoShepherd:-Reported Customer Service Metrics and consumer insights from the customer service team.-Involved in video script writing and production for the company youtube channel. -Conducted a link building campaign involving webmaster outreach and link tracking. -Managed company Wordpress blog including plugins and SEO optimization. -Participated in local car clubs, shows and charities for community outreach and marketing.
  • Newegg.Com
    Knowledge Management Specialist
    Newegg.Com Sep 2006 - Jul 2010
    I built and maintained internal wiki system using open source software solutions. I also authored internal manuals for employees whenever system/tools are modified or created. Limited CSS, HTML and PHP experience installing and skinning wiki platform. In addition to my work on the internal knowledge base, I was responsible for department wide memos and email communications.

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