Insung (Peter) Song

New York City,USA

Summary

Results-driven Automation Engineer with over 8 years of experience in developing robust mobile automation frameworks, test infrastructure, and backend data quality validation workflows. Expertise includes iOS, Android, and analytics systems, ensuring seamless integration and functionality. Proficient in Java, Python, SQL, Databricks, S3, CI/CD practices, and device-farm infrastructure, with a strong focus on production signal monitoring. Committed to enhancing software quality and operational efficiency through innovative automation solutions.

Overview

years of professional experience

Work History

Automation Engineer

Disney Streaming

09.2022 - Current

Built and maintained Android/iOS nightly, regression, and smoke automation using an in-house Java framework; validated analytics events against backend data requirements.
Automated backend data collection and issue-trend analysis with Databricks, S3, and SQL to improve visibility into recurring failures and telemetry quality issues.
Built a GUI log-analysis tool to help testers filter critical signals and triage issues faster.
Partnered with Data Engineering to improve backend data quality and strengthen analytics validation reliability.
Developed automated testing frameworks to enhance software reliability and performance.

Software Engineer

Samsung Electronics America

02.2017 - 09.2022

Developed Google ACTS-based automation for Samsung devices across mobile, telephony, and network-related scenarios.
Built end-to-end RPA workflows to reduce repetitive manual operations and improve execution efficiency.
Managed and expanded an overseas remote automation/device-farm system supporting live US network testing and regression monitoring.
Implemented CI/CD tasks to improve automation-system stability and reliability; collaborated with carriers, RAN vendors, and Qualcomm during 5G debugging sessions.

R&D Engineer

EP Purification, Inc.

05.2016 - 01.2017

Evaluated sensor data and developed control logic for ozone-generation systems and supporting boards.
Tested and verified state-specific functional requirements across multiple configurations.
Developed high-level control logic for ozone-generation systems and supporting boards.

Education

B.S. - Electrical Engineering

University of Illinois Urbana-Champaign

Urbana, IL

05.2015

Skills

Languages: Python, Java, SQL, JavaScript, Bash
Automation/Testing: Mobile automation, regression/smoke testing, Google ACTS, CI/CD integration,

Data/Infra: Databricks, S3, backend data validation, telemetry validation, remote device farms, API/log tooling

Languages

English

Native or Bilingual

Korean