# Atl Arredondo > Software Engineer @ Replit Location: San Francisco, California, United States Profile: https://flows.cv/atl ## Work Experience ### Software Engineer @ Replit Jan 2026 – Present ### Product Engineer @ Airtable Jan 2021 – Jan 2026 | San Francisco Bay Area ### Software Engineer - Data Platform @ Slack Jan 2017 – Jan 2021 | San Francisco Bay Area ### Student Researcher @ UC, San Diego Systems Energy Efficiency Lab (See Lab) Jan 2016 – Jan 2016 | University of California, San Diego • Implemented Particle Filtering to interpolate and predict Unevenly Spaced Time Series data points and convert the data into evenly spaced time series for data analysis on low power devices. • The particle filter algorithm was developed using C++ and ran on Raspberry Pi 2 and A+ over meteorological data and obtain real time interpolation and prediction results. • Measured accuracy and power consumption of particle filtering to verify how suitable they are for low power embedded devices. Paper can be found here:http://bit.ly/2a2KZvN ### Data Engineer - Intern @ Slack Jan 2016 – Jan 2016 | San Francisco Bay Area • Built a data pipeline to transform raw logs format that can be used for user session extraction and streaming analysis, using Spark, Parquet File Format and Hive. • Developed the session pipeline using this new format to support metric aggregation analysis and security patterns. Also, this involved building a data visualization tool to query sessions. • The pipeline jobs were scheduled hourly and daily. ### Software Engineer Internship @ Qualcomm Jan 2015 – Jan 2015 • Worked with the Aljoyn Internet of Things framework to maintain tests and add features to tutorial applications • Developed test Thin Client applications to improve Alljoyn Core functionality • Debug Alljoyn Lighting SDK for Smart Lamp Android and iOS distributions. • Developed test cases for Introspect with Description Alljoyn Core feature using the Google Test framework. ### Water and Natural Resource Engineering Intern @ HDR Jan 2013 – Jan 2014 | 8690 Balboa Ave, San Diego, CA 92123 • Consulting services on water and natural resources projects that involved data collection. • Data gathering and analysis using database collection to solve logistic and efficiency problems on pipe criticality and city resources studies. • City of Corpus Christy Wastewater cost study on analysis of population demographics in terms of per capita usage and income. • Pipe criticality analysis to determine defective pipes on the City of San Diego Wastewater South and Metro Interceptors. ### Student Researcher @ Discrete Mathematics and Theoretical Computer Science (DIMACS) Jan 2014 – Jan 2014 | Rutgers University, New Jersey - DIMACS Research Experience for Undergraduates (REU) program of 2014. - Worked under Dr. James Abello. - Student collaborators: Atl Arredondo, Ram Hari Dahal, and David DeSimone. -Graph theory research to create a web application that visualizes data collections. -Use data collection and similarity measures techniques to format REU project data. -Web development with D3 JS Library to represent data as an interactive graph. -Research paper presented at the MathFest Conference on August 7th at Portland, OR ### First Year Experience Peer Mentor @ San Diego City College Jan 2013 – Jan 2014 ### Construction Labor @ Creative Contruction Group Jan 2011 – Jan 2013 ## Education ### Bachelor of Science (B.S.) in Computer Engineering UC San Diego ### Self-Driving Car Engineer Nanodegree - Term 1 Computer Vision and Deep Learning in Artificial Intelligence Udacity ### Computer Science San Diego City College ## Contact & Social - LinkedIn: https://linkedin.com/in/atlarredondo - Portfolio: http://atlarredondo.com/ --- Source: https://flows.cv/atl JSON Resume: https://flows.cv/atl/resume.json Last updated: 2026-04-11