Atl Arredondo Email & Phone Number

San Francisco, CA, US

San Francisco, California, US

San Francisco, California, US

• 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

San Francisco, California, US

• 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.

San Diego, CA, US

• 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.

Omaha, Nebraska, US

• 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.

- 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.

San Diego, CA, US

Bachelor Of Science (B.S.), Computer Engineering

Self-Driving Car Engineer Nanodegree - Term 1 Computer Vision And Deep Learning, Artificial Intelligence

Transfer Expected 2014, Computer Science