# YuTong (Julia) Zhang > Senior Software Engineer at Together.ai Location: Mountain View, California, United States Profile: https://flows.cv/yutongjuliazhang ## Work Experience ### Senior Software Engineer @ Together AI Jan 2025 – Present | San Francisco Bay Area ### Senior Software Engineer @ Nuro Jan 2020 – Jan 2024 | San Francisco Bay Area Primary architect and developer of a low-level, multi-threaded, high-performance C++ networking layer for Nuro’s real time remote driving platform. This layer enabled low latency + low loss real-time video streaming over variable network conditions. Designed and implemented a novel congestion control algorithm using adaptive application-limited probing, early indicators (OWRD), and modem based forward error correction (FEC) resulted in 33x improvement in latency metrics. Developed key components of video streaming stack: sender side: packetization, multi-modem dynamic distribution algorithms receiver side: jitter buffer and frame organizer for frame pacing/synchronization Designed and implemented dynamic packet re-routing, using Linux TC and CGroup utilities. Integrated custom C++/GStreamer QP estimation video codec wrapper to improve video quality (3x efficiency increase, 25% QP reduction). Led extensive cross-functional data driven initiatives across four teams to address and resolve critical networking issues blocking company deployments. Coordinated complex feature development across multiple teams, prioritized tasks and leveraged collected network metrics for investigations and bug fixes. Developed and implemented comprehensive benchmarking and profiling (perf, VTune) in C++ for Nuro’s model interpreter to enable CPU and memory optimizations of machine learning inference. Built data pipelines to ingest critical network metrics into BigQuery. Managed and analyzed large datasets, employing data cleaning techniques and regression analysis to identify and predict network trends and patterns. Worked a cloud platform to manage and schedule mapping missions Built a mission scheduler to optimize mapping mission schedules based on distance Implemented Go-based micro-services deployed in GKE which utilized various cloud technologies: MySQL, gRPC, Pub/Sub (GCP message queue) ### Senior Software Engineer @ GE Healthcare Jan 2018 – Jan 2020 | Seattle, Washington Developed and built microservices with AWS technologies in Python for GE Health Cloud DataLake. Led the design, implementation and deployment of a distributed virus scanning service with 300x the load capacity of previous system - Multithreaded implementation had over 3x increase over original design - Designed distributed synchronization for shared workload, cleanup, machine failovers - Incorporated autoscaling for cost optimization and dynamic load handling Led performance optimizations across platform: - Added multithreaded configurations for SDK uploads resulting in 2x speedup - Implemented buffered streaming for 25x decrease in memory usage during DICOM image processing Utilized AWS technologies such as API gateway Lambda, EC2, Athena, DynamoDB, S3, Elastic Search, Cloud Formation, Cloud Watch, IAM, SQS, SNS. Designed and implemented restful APIs and their corresponding lambda services. Also created unit, component and end to end tests for lambdas and APIs using mock, boto3 and behave. ### EEDP Software Engineer @ GE Healthcare Jan 2017 – Jan 2019 | Waukesha, Wisconsin The Edison Engineering Development Program seeks to create the next generation of engineers by combining 4 technical rotations (6 month long projects in all areas of the company) along with challenging coursework (mechanical, electrical and software). First Rotation: Digital Mammography: Used Flask, Python and web development languages (HTML, JS, CSS) to create a data visualization tool for the image quality team. Magnetic Resonance: Developing APIs for the MR image reconstruction SDK. Optimizing image processing algorithms for use with GPU. GE Healthcloud: Part of team leading the architecture and development of the next generation Data Lake for Healthcloud. ### Software Intern @ GE Healthcare Jan 2016 – Jan 2016 | Barrington, Illinois -Improved performance of Centricity Universal Viewer by implementing database caching and multithreading operations. -Reduced image loading time by 25% and conducted performance testing. -Built proofs of concept (image fetching servlet and search engine) for product troubleshooting improvement. ### Research Assistant @ Pediatric Cardiac Engineering Lab at Texas Children’s Hospital Jan 2014 – Jan 2016 Leading a project investigating the applicability of polyurethane as part of a hybrid cardiac patch for the creation of an autologous and contractile tissue engineered device for congenital heart defects. In continuation of the study, I am assessing the viability of stem cells in hybrid patch to attain a pre-vascularized patch. ### Research Assistant @ Texas Children's Hospital, Department of Pediatric Gastroenterology Jan 2014 – Jan 2015 Analyzed data to demonstrate the effect of QT prolongation on acute on chronic liver failure survival outcomes in children. ### Research Assistant @ Texas Tech University, Department of Computer Science Jan 2014 – Jan 2014 Designed a computer program that accurately recommends treatments derived from clinical practice guidelines for various comorbid diseases. Explored declarative programming as a tool to solve real world problems. Developed fluency in Answer Set Prolog (ASP). ## Education ### Bachelor of Science (B.S.) in Bioengineering and Biomedical Engineering Rice University ## Contact & Social - LinkedIn: https://linkedin.com/in/yutong-julia-zhang-954b53b3 --- Source: https://flows.cv/yutongjuliazhang JSON Resume: https://flows.cv/yutongjuliazhang/resume.json Last updated: 2026-04-01