Hi, I’m Natasha. I’m a software engineer who enjoys software development, system design, and data analysis. Currently, I’m a software engineer at Netflix enabling innovative playback experiences on TV. I work with A/B experimentation, automation, and platform infrastructure.

Experience

2024 — NowNetflixSoftware Engineer

2024 — Now

Los Gatos, CA

L4 on TV Player Platform (Streaming & Discovery Experiences)

Working with A/B experimentation and canary analysis to enable innovative playback features (such as Live streaming) on millions of TV players

Lead developer of the system that orchestrates all test automation for new TV player versions

2023 — 2023SamsaraSoftware Engineer

2023 — 2023

San Francisco, California, United States

Infrastructure Platform

Identified and defined a key pain point through cross-team research, authoring a PRD to

standardize customer data across Redis instances and empower sales engineers with timely

access—reducing dependency on platform teams.

Built a high-performance Go and GraphQL API, slashing data retrieval time from 24+ hours to

under 20 seconds; monitored usage and latency metrics to validate impact and system reliability.

Conducted user research with sales and engineering teams to design and launch a self-service UI (React), prioritizing key filters to optimize usability, saving 12+ hours weekly org wide.

2022 — 2022Digital GaiaProduct Engineer

2022 — 2022

Led product strategy for an ML-powered conservation tool, reprioritizing interpretability of project impact scores based on feedback from core users (nature stewards).

Owned design and launch of the company’s first core product, setting the standard for translating complex ML outputs into interpretable and actionable insights.

2021 — 2021NCXData Engineer

2021 — 2021

San Francisco, California, United States

Led development of an open-source Python QGIS tool to manipulate and analyze cloud-based

geospatial data, built in collaboration with forest scientists.

Built and deployed scalable data pipelines using Python, PostgreSQL, and AWS to support

statistical modeling for NCX’s forest carbon marketplace.

2021 — 2021NumeroData Scientist

2021 — 2021

San Francisco, California, United States

Identified a major transparency gap for political donors, who lacked visibility into how campaign

contributions were spent. Defined product requirements and partnered with a designer to build a zip

code–based tool that surfaced spending data for 4,500+ incumbents in a clear, explorable format.

Launched the tool as part of a marketing campaign to attract campaign finance professionals and

drive engagement with the broader Numero product suite.

Education

Yale University

Experience

Education

Bachelor of Science - BS