Daniel G. Email & Phone Number

New York, Ny, Us

Today, when you go to your doctor and need to be referred to a specialist (e.g., for sleep apnea), your doctor sends a fax (yes, in 2024, 90% of provider-provider communication is a 1980s fax). These are often converted into 20+ page PDFs, with handwritten (doctor’s handwriting!) notes, in thousands of different formats. The problem is so complex that a person has to read it, type it up, and manually enter your information. Tennr built RaeLLM™ (7B—trained on 4M+ documents) to read these docs, talk to your doc to ensure nothing is missed, and text you to help schedule your appointment so you can get better, faster.

San Francisco, California, Us

Worked on route planning for autonomous vehicles.

San Francisco, Ca, Us

Designed and implemented an alerting feature for an internal Lyft business metric dashboard tool.Implemented the backend, team-specific metric retrieval and alerting library (golang), iterated & deployed the alerting service (golang), developed frontend alerting workflow (next.js), and worked directly with business operation stakeholders to create financial-specific alerts and get feedback on the alerting feature for more iteration.

San Francisco, Ca, Us

Implemented distributed data processing jobs in Python using Apache Spark (Pyspark) and Lyft's open-source data processing platform, Flyte, and evaluated quality of data pipeline as part of the Map Ingestion team at Lyft.Jobs downloaded, processed, stored, & surfaced the latest additions and modifications to openly-sourced map data and metadata for internal use-cases.

Mountain View, Ca, Us

Implemented an internal API service in C++ using Google’s internal RPC and server framework as part of a Google Physical Security Engineering team. The API Service retrieves an image frame from a video file at a particular timestamp as part of the team’s infrastructure.Implemented the server binary and service implementation in C++, implemented a protobuf API interface for the service, and uploaded the server binary to Google’s internal machine management system to actively run and serve requests.

Mountain View, Ca, Us

Implemented an image clustering data-pipeline in C++ using Google’s internal parallel data-processing pipeline library as part of the Machine Perception, Image Understanding team.The pipeline retrieved, processed, and embedded images (in C++) using the latest internal candidates for image embedding models and then clustered them as part of a Google Photos image clustering demo.Wrote a compact C++ library for executing internal image embedding processes on a given input of raw image bytes and producing immediate embedding results.

Mountain View, Ca, Us

Participated in an intensive programming institute learning web app development in HTML, CSS, Javascript, Python and Google App Engine from Google engineers. Created various small projects; learned how to utilize Python and Google App Engine in order to create the backend server code for a group project that kept track of the daily wages and paychecks of each unique user that had signed into the site.

Master'S Degree, Computer Science

Bachelor'S Degree, Computer Science