# Zoe Statman-Weil > software engineer for the environment Location: San Francisco, California, United States Profile: https://flows.cv/zoestatmanweil I enjoy learning and challenging myself. GitHub: https://github.com/zstatmanweil Website: https://www.zoestatmanweil.com ## Work Experience ### Software Engineer @ Vibrant Planet Jan 2024 – Present ### Senior Software Engineer @ The Earth Genome Jan 2022 – Jan 2024 • Spearheaded the research, construction, and management of a vector/embeddings search engine using cutting- edge technologies like Qdrant and Milvus for an internal earth observation search project. Remain up-to-date with the latest developments in vector databases, quickly adapting to changing landscapes and new releases. • Design and implement RESTful APIs in Go for climate change-focused organization websites, delivering data for interaction and visualization. Leverage Postgres and PostGIS for data storage, geospatial search and vector tile delivery. • Successfully manage multiple services, including a Spatial Temporal Asset Catalog service and the vector services, within Kubernetes. ### President and Board Member @ BayGeo Jan 2019 – Jan 2022 Lead a non-profit, professional geospatial technology organization dedicated to bringing together and supporting students, educators, developers and other geo-professionals excited about the world of geography and mapping. ### Data Engineer @ Impact Observatory Jan 2021 – Jan 2022 • Designed, built and managed a robust data processing system on Azure Batch that deploys a land use land cover ML model over more than 500 terabytes of satellite imagery data to create a 10-m resolution annual global map of the world. Handled edge cases and transient errors to produce a fault-tolerant scalable pipeline. • Managed an internal Spatial Temporal Asset Catalog built from the stac-fastapi and pgstac open source projects. Participate in those projects via issues and pull requests. • Built the team's first CI/CD pipelines in Gitlab to manage the deployment of Docker images and internal python packages. ### Data Engineer @ Premise Data Jan 2019 – Jan 2021 • Implement streaming and batch Apache Beam / Google Cloud Dataflow pipelines for data transformation in Python and Scala. Projects have included a streaming Scala pipeline to predict payment fraud, and a batch Python pipeline to convert unprocessed Premise App submission data to KMZ files downloadable by Premise's clients and Data Science team. • Construct batch Airflow data pipelines in Python, ranging from a simple pipeline that ingests Facebook ad data and exports it to a Google BigQuery table, to complex pipelines such as one that queries Premise App submission data through SQL, runs it through a Random Forest fraud prediction model via a Docker container, and outputs the results to BigQuery. Built a Delta ETL in Airflow to pre-process data in BigQuery for use by data analysts, saving hundreds of dollars in cost per month. • Build and support Python services for fraud detection, quality control, and data management. Significant contributions have included building auto-quality control modules (Flask REST API modules) to assess incoming Premise App submission data. For example, a module that utilizes a computer vision model developed by the Data Science team to predict the likelihood of incoming photos showing the expected content. • Offer support and explain data engineering technology and concepts to the Data Science, Growth, Engineering, Product, and Management teams. ### Participant @ Recurse Center Jan 2019 – Jan 2019 Participated in a self-directed, project-based educational coding retreat where I focused on becoming a radically better programmer. Specifically, I worked on geospatial data analysis (e.g., pandas, numpy, geopandas), web mapping (Flask and Mapbox GL JS), and machine learning (e.g., scikit-learn). ### Environmental Scientist/Project Manager @ Toeroek Associates Jan 2013 – Jan 2019 | Berkeley • Supported the EPA’s Superfund enforcement program by managing the environmental liability investigation of multiple Superfund sites. Project management entailed developing methods of research and analysis, communicating with the EPA client, organizing and assigning work to analysts, and ensuring high-quality deliverables are completed efficiently and on time. • Led the GIS team by training new GIS analysts, creating templates, drafting protocols for data management, and creating a variety of figures key to the liability investigation of Superfund sites. • Interpreted and analyzed historical records, technical documents, and sampling data to identify Potentially Responsible Parties and the extent of their liability at Superfund sites. • Developed methods of compiling data and research into reports and figures to best convey findings and recommendations to the EPA client. ### Lab and Field Technician @ Environmental Science Policy and Managment, UC Berkeley Jan 2011 – Jan 2012 | Berkeley • Conducted fieldwork and lab research at two different ecology labs in the Department of Environmental Science, Policy and Management. One lab focused on carbon sequestration in rangeland soil and the other on ecological restoration. ## Education ### Bachelor of Arts - BA in Environmental Studies Carleton College ### Master of Science - MS in Geographic Information Science San Francisco State University ### Human Ecology and Resource Management School for International Training ## Contact & Social - LinkedIn: https://linkedin.com/in/zoe-statman-weil-a1039633 - Website: http://zoestatmanweil.com --- Source: https://flows.cv/zoestatmanweil JSON Resume: https://flows.cv/zoestatmanweil/resume.json Last updated: 2026-04-05