Sam C. Email & Phone Number

San Francisco, California, Us

Migrated the entire customer base from a Kubernetes based data plane to an IaaS one improving reliability, performance, and network security.Built up the customer support access adding monitoring and operationalized review and execution of fixes and feature requests direct from Sales to Engineering.Drove the General Availability for Ray Libraries (Ray Serve, Train/Tune, and Data) stabilizing the API surface area enabling key AI/ML companies (eg: Canva) to productionize.Led the integration of ML accelerator chips from Intel, AMD, and Amazon with Ray Core enabling alternate capacity for Ray users around the world.Working on hardening the stability and reliability of Ray Core (the foundational layer of the Ray stack that ultimately enables the building and scaling of distributed applications) and managing the 50k+ Ray open source community...

San Francisco, California, Us

Drove the re-architecture and migration of the Michelangelo stack (Feature Engineering, Transformation, Training, Retraining, Monitoring, and Deployment) to a Kubernetes based stack with added capability in resilience, redundancy, and extensibility on premises and on the Cloud.Coordinated the revamp of infrastructure to support machine learning training and serving on CPU/GPUs on premises and on the Cloud including budgeting, attribution, planning, demand signal, capacity, hardware design, observability, dynamic spillover burst to the Cloud, slack capacity re-use and allocation and ad hoc capacity adds.

San Francisco, California, Us

Drove the adoption of deep learning across 30+ of Uber's line of business including Rider, Driver, Eats, Risk, Safety, and Identity.Onboarded thousands of Uber's machine learning models to a git backed, structured, programmatic machine learning framework where feature, transformation, training, imaging, and serving techniques and code are all served and tracked.Drove the experimentation and successful deployment of AutoML on top of the inventory of machine learning techniques and artefacts to automatically and scalable find performance gains, synergies of features, techniques, and architectures across Uber's different lines of business.Lead TPM for DeepETA: the ETA predictor for Uber's businesses working with a crack team machine learning engineers and data scientists to launch innovations like feature embeddings, distributed learning on GPUs, and feature bucketization+segmentation.Worked with hard ware engineers, finance, and capacity engineering teams to provision hundreds of machines, improve utilization of the ML capacity footprint to ~95% and subsequently solve the capacity problem by moving Michelangelo to a Kubernetes based training and serving infrastructure running on top of Spark and Ray.

Redmond, Washington, Us

Built distributed machine learning training and inference infrastructure with Kubernetes on Azure for the creation of models by large teams of data scientists and researchers across industry verticals, particularly Novartis (Pharmaceuticals).

Redmond, Washington, Us

Created and curated datasets from Bing for use in analytics and predictive ML models to optimize and support supply chain optimizations in light of COVID plus Hurricane Sally.

Redmond, Washington, Us

Productized the generation of synthetic data from Hololens for generic Computer Vision applications and engineered it to execute on top of a distributed computing layer in Azure.Built the deployment and live site systems, as well as the Compute and Storage stacks for Azure Secret: Cloud regions capable of supporting US Government Classified workloads.Consolidated and secured hundreds of core identity, virus protection, incident ticketing, token services, secrets management, and build shares required to run the Azure cloud.

Redmond, Washington, Us

Migrated AXON (Taser International) onto Azure moving petabytes of data solving challenges in verifying data integrity, encryption to FBI CJIS reqs, and network routing at the L3 layer.Designed Azure regions for the Department of Defense deploying 30+ Azure cloud and internal DevOps services, including AI technology like Azure Cognitive services.Expanded Azure Government to two additional regions (20k+ cores and 4PB additional build out).

Redmond, Washington, Us

Deployed Azure services to Azure Government regions working with engineering to improve their deployment, live site, monitoring, identity, and security implementations to US Govt agencies spec, of highlight: DoJ and CJIS requirements.Grew consumption of the Azure Government platform from 0 to 10k+ cores, petabytes of data working with US Govt agencies including DHS, DOS, VA, NOAA, GSA, FBI, and the CBP. Automated the cataloging 4m+ Azure assets ranging from bare metal to virtual network devices for FedRAMP Compliance improving inventory time from months to minutes.Staffed and scoped the the customer support teams and process for Azure Government.

Vancouver, British Columbia, Ca

Computer and Electrical Engineering (CMPE)Software Option w/ Distinction

Co-founder and iOS developer for SoundIT - an mobile app plus Django based backend letting our customers crowdsource their favorite music at their favorite bars, clubs, and restaurants (geo-based).

Co-founder and iOS developer for Swiip - a mobile productivity app that rewards you with real-life rewards when you complete tasks on your mobile app taking into account your geo-location.

Vancouver, British Columbia, Ca

QA Engineer

San Jose, California, Us

Perl Test Automation Engineer