Ted Weber Email & Phone Number

California, United States

Seattle, WA, US

New York, US

• Developed an ML workflow to estimate the size of a building (interior square footage) based on a 3D point cloud generated by a laser scanner. Leveraged computer vision algorithms for object detection and semantic.
• Setup CI/CD infrastructure for AWS services using GitHub actions and SST for infrastructure-as-code.
• Designed and implemented team management and sharing features on our core web platform IPX.
• Designed and implemented site-search on IPX.
• Designed and implemented an updated pricing algorithm allowing us to automatically set prices for hundreds of product configurations. Also built a pricing API and integrated it throughout our product.
• Setup framework for interviewing engineering candidates, and facilitated several interview loops.

Seattle, WA, US

• Designed & implemented a semantic search service to help store associates quickly find relevant clothing items based on contextual meaning of a text query. (Java, Fargate, OpenSearch, Airflow, Batch, Lambda)
• Designed & implemented framework for personalized marketing emails. (Batch, Airflow, Glue)
• Designed & implemented a data validation framework to raise alarms when data issues are identified. (Spark, Airflow, Lambda, CloudWatch)
• Lead efforts for security and privacy compliance across all of our backend ML systems.
• Participated in the "Security Certifier" program where I facilitated security reviews for Amazon services outside of my immediate team.
• Participated in >25 interview loops to assess SWE, MLE, and Applied Scientist candidates.

Seattle, WA, US

• Developed end-to-end ML workflows for several models powering Amazon Style - a novel physical clothing store powered by technology and ML.
• Designed and implemented a secure-by-default compute service on AWS batch to enable applied scientists to train/evaluate ML models on AWS batch using arbitrary Python code with no infrastructure management.
• Designed and implemented a secure-by-default SageMaker notebook environment enabling applied scientists to explore data and train ML models via Jupyter notebooks. This service has built in data security and retention.
• Contributed to the design and implementation of several systems powering ML workflows including data ingestion pipelines, continuous data validation, continuous model training/evaluation, and continuous model deployment.
• Delivered statistical analyses for customer A/B tests.
• Setup and facilitated scrum for project management on our team.

New York, NY, US

New York, NY, US

• Designed and deployed the automated training, evaluation, and serving infrastructure for a suite of pricing models on the cloud. These are the most fundamental ML models powering several products serving tens of.
• Actively participated in designing an in-house machine learning platform built on GCP native. Made significant contributions to the design of our feature store, as well as the model training/serving infrastructure for.
• Improved StubHub’s pricing models by researching and implementing a custom time-dependent algorithm. The new approach reduced median MAE w.r.t. the in-production pricing models by ~13%.
• Shipped a memory-based model to track market prices and guide end-user pricing decisions.
• Designed and implemented the DevOps infrastructure for StubHub’s ML team, enabling CICD for ML applications.
• Languages/Technologies: Python, GCP, TensorFlow, Apache Beam, Apache Airflow, Concourse CI, Bash

Bellingham, Washington, US

• Investigated techniques for using deep neural networks to produce surrogate models for short term (10 year) climate forecasts.
• Deep residual network trained with scheduled sampling achieved mean percentage error of -13.22% forecasting precipitation outcomes, and reduced RMSE by ~25% (on average) across all regions compared to baseline.
• Collaboration with Pacific Northwest National Laboratory.

Bellingham, Washington, US

• Mentored undergraduate students in introductory Computer Science courses.
• Developed and lead workshops on various programming languages and technologies.

Bellingham, Washington, US

• Research in Human-Computer Interaction, Data Visualization, and mHealth technology.
• Developed a model to pinpoint the optimal delivery timing for smartphone-based interventions that facilitate smoking cessation.
• Developed an Android app to provide users with near real-time stress/activity data visualizations to help promote smoking cessation.

Bellingham, Washington, US

• Grading assistant for CSCI 330 (Database Systems) at Western Washington University.

New York, NY, US

• Collaborated with data scientists to design and develop a gradient boosting classifier to identify trending performers.
• Deployed a REST API to serve offline predictions generated by a daily batch job.
• Languages/Technologies: Python, keras, scikit-learn, Java Spring, Apache HBase.

Seattle, WA, US

• Developed a telemetry instrumentation framework for Tableau Online to track end-user site interactions.
• Developed functional test suites for new features, and increased unit test code coverage by ~8%.
• Languages/Technologies: C#, Java, Jasmine.js, Selenium, Perforce, BigQuery.

Centennial, CO, US

• Contributed features to a major version release of Fast’s GenTax software for the Utah State Tax Commission.
• Communicated with nontechnical clients to discuss bugs and site-specific feature requests.
• Languages/Technologies: VB.NET, Microsoft SQL Server.

Master Of Science - Ms, Computer Science

Bachelor Of Science - Bs, Computer Science