# Sai Parthasarathy Miduthuri > Software Engineer, Release & Engineering Efficiency Location: Mountain View, California, United States Profile: https://flows.cv/saiparthasarathymiduthuri ## Work Experience ### Software Engineer @ Anyscale Jan 2026 – Present | San Francisco Bay Area ### Software Development Engineer II @ Amazon Web Services (AWS) Jan 2021 – Jan 2025 | Santa Clara, CA • Developed automated release workflows and infrastructure for continuous deployment of AWS DLCs to multiple regions, through infrastructure as code (IaC) using AWS CDK. • Designed a scalable multi-region canary testing and monitoring system using a microservice architecture, optimizing costs, improving scalability, and expanding testing capabilities across 30 regions. • Developed CloudFormation Resource Provider support and API Handler contracts for Managed MLFlow on SageMaker • Implemented a centralized SLO monitoring system to aggregate and visualize metrics across multiple regions, improving incident response times and visibility for leadership. ### Software Development Engineer @ Amazon Web Services (AWS) Jan 2019 – Jan 2021 | Palo Alto, California • One of the top contributors on the open-source AWS Deep Learning Containers project - https://github.com/aws/deep-learning-containers • Developed DLC images for MLOps use cases across AWS services such as EC2, ECS, EKS, and SageMaker, and designed the test suite for multi-node training and inference for these images. • Led the release of multiple Deep Learning Containers and AMIs across multiple DL Frameworks including PyTorch, TensorFlow, MXNet, etc., adding support for features like Horovod and Nvidia Transformer Engine. ### Member Of Technical Staff @ Tonbo Imaging Jan 2015 – Jan 2017 | Bengaluru Area, India Tonbo Imaging specializes in developing advanced cameras for night-vision, reconnaissance, and tracking, based on thermal imaging. Tonbo Imaging competes with global suppliers such as BAE Systems and FLIR in building vision systems for handheld, vehicle-mounted, and self-stabilized tracking cameras for military and commercial applications. - Developed image processing algorithms and embedded firmware for a hybrid architecture on an ARM+FPGA platform. Developed a linux build system and applications for image and video processing on Intel Cyclone V devices. - Developed software-hardware codesign for video processing and hardware peripheral control to reduce size, power and volume requirements by 60-70% compared to current platforms. - Developed linux kernel module to speed up communication over serial interface with peripherals, which reduced communication latency by 80%. - Developed multi-threaded raw video streaming applications using a linux kernel module to reduce frame drops to under 2%, and improve maximum video throughput to 90 FPS. ## Education ### Master of Science - MS in Computer Science Stony Brook University Graduate School ### Bachelor of Technology (B.Tech.) in Electrical, Electronics and Communications Engineering IIIT Hyderabad ### Indian School Muscat ## Contact & Social - LinkedIn: https://linkedin.com/in/saimiduthuri --- Source: https://flows.cv/saiparthasarathymiduthuri JSON Resume: https://flows.cv/saiparthasarathymiduthuri/resume.json Last updated: 2026-04-11