Mar 2022 – Apr 2025 · 3 yrs 1 mo · San Diego, California, United States · On-site

• Owned system-level validation and automation for a large-scale satellite communication platform on iPhone, providing clear readiness and regression signals across protocol, device, and system layers prior to public release.
• What I worked on:
• Drove end-to-end validation for satellite communication features, covering feature-complete testing, regression strategy, and release readiness assessment across lab, simulator, and real-world conditions.
• Built and used Python-based automation to validate system workflows, parse logs, and surface quality and reliability indicators used in release decisions.
• Designed log and telemetry analysis pipelines processing 30GB+ of device data per week, reducing failure triage cycles and accelerating root-cause isolation.
• Extended a keyword-driven automation framework, enabling teams to express high-level system intents as executable validation logic without increasing maintenance overhead.
• Partnered closely with development teams to reproduce issues, validate fixes, and prevent regressions ahead of launch.

Mar 2020 – May 2022 · 2 yrs 2 mos

• Worked on large-scale wireless observability and system analysis, using device telemetry and automation to monitor system health, detect regressions, and support release decisions across cellular and Wi-Fi platforms.
• What I worked on:
• Built Python- and SQL-based analysis workflows to monitor health, reliability, and regression signals from commercial device telemetry collected at scale.
• Defined and operationalized system-level KPIs with thresholds, helping teams identify performance, stability, and data-quality regressions across releases.
• Implemented synthetic telemetry generation and controlled load scenarios to validate end-to-end ingestion pipelines when real-device data was sparse or non-deterministic.
• Automated regression checks and pipeline sanity validation to ensure continuity and correctness of telemetry data across software updates.
• Partnered with platform and systems teams to analyze recurring wireless failure patterns, isolate root causes, and validate fixes using a combination of real-device and simulated data streams.

Dec 2016 – Dec 2019 · 3 yrs

• Worked on a desktop-based analytics and validation platform used to analyze wireless system performance, combining Python automation, data analysis, and backend validation to support reliable investigation and regression detection.
• What I worked on:
• Contributed to a desktop analytics and validation platform, building Python-based backend services to orchestrate long-running analysis workflows used in system and network investigations.
• Designed and maintained asynchronous job pipelines with cancellable and status-tracked execution, enabling reliable multi-hour analysis runs without blocking users or tools.
• Developed Python data-processing modules using Pandas to compute KPIs and summaries over large wireless and system datasets, supporting performance and reliability analysis.
• Built unit-level and backend validation automation using PyTest and CI pipelines to ensure correctness of core computation logic as the platform evolved.
• Implemented REST-based automation to validate backend workflows end-to-end, independently of the UI, and ensure analysis results remained consistent and reproducible.
• Supported packet- and system-level analysis to diagnose throughput, latency, and protocol inefficiencies, accelerating root-cause isolation during development and validation.

Jan 2014 – Nov 2016 · 2 yrs 10 mos

• Produce reports and dashboards using SQL and Excel providing insights regarding smartphone usage to multidisciplinary cross-functional teams
• Analyzed data and designed visualizations to characterize smartphone power consumption which helped technology teams identify an optimization resulting in 3-5% reduction in power consumption for end users
• Designed an experiment to estimate the impact of user data collected by Android and iOS platforms, analyzed the extracted data using Excel macros (VB-based), and presented data to engineers in Google.
• Evaluate the feasibility of data for applying predictive analytics to quantify smartphone data usage given the app and platform (iOS/ Android)
• Develop SQL query to analyze network operator logs to detect potential licensing terms violation by subscribers by using IMEI and IMSI activation date
• Develop SQL queries to analyze 4G LTE network logs to derive KPIs such as throughput helping technology teams evaluate newly launched technologies

Jul 2012 – Jan 2014 · 1 yr 6 mos

• Responsible for server-side deployment and maintenance of Qualcomm's PTT solution in Sprint's cloud
• Perform software upgrades during maintenance window in production of push to talk application servers
• Handle e2e testing of international PTT call feature including test plan development, test execution on site, and bug triaging and resolution. Identified 2 show stoppers and oversaw their resolution.