Ross Morrow

About Ross Morrow

I am a programmer and mathematical analyst with a unique combination of theoretical, computational, and communication skills. My profile details my working experience; see also my website (wrossmorrow.com) for publications and presentations related to my research. I\'ve worked at five universities (Michigan, Iowa State, MIT, Stanford, and Harvard), at big old companies (Ford) and small new ones (Bond), and on everything computing including research, HPC, full-stack, backend API development, devops/platform, data science and data engineering.+ a bit sarcastic, opinionated but caring, chaotic painter and periodic runner.

Experience

1. Principal Engineer

   Coactive Ai

   Aug 2024 — Present · San Jose, CA, US

   Focus areas:* Engineering culture building and best practices across the organization* High level project/feature architecture, planning, and prioritization* Lead or support at least one high-value focused engineering \"squad\" with different staff per quarter* DevOps and MLOps for enterprise-grade customer experiences with AI* Next generation online image and video pipelines for throughput, observability. and scale* Exploring vector DB technologies and their fit (or misfit) with new use cases* Partnering for effective and efficient AI serving strategy* Leading refactoring of analytics tooling for visual content* Scaling post-AI ML inference scaling to up to thousands of models over many millions of assets* Serving as manager for platform engineering (with oversight of devops)Outcomes:* Stabilized kubernetes infrastructure for general use with autoscaling to hundreds of nodes in mulitple clusters, including CPU and GPU workloads over 2 cloud providers* Built online AI/ML pipelines winning a live-data multinational customer in under 3 months* Increased visual content analysis throughput by an order of magnitude* helped reduce AI inference costs by an order of magnitude achieving a key OKR* Introduced deployment practices reducing deploy time from hours to minutes, with near 100% reliability, regularly > 5 deploys a day up from 1-2 a week* Managing several internal and external routing applications (new APIs, rollouts, database proxying) with envoy and envoy gateway (formally recognized adopter), running 5+ gateways per cluster* Expanded kafka utilization to a core stack technology for observable, durable, and \"data product\" features, including for AI applications* Enabling new internal and customer facing feature development with real time data (kafka, Druid, and Pinot)

Education

• University of Michigan

  PhD, MS, Mechanical Engineering

  2002 — 2008

• University of Michigan

  MS, Mathematics

  2003 — 2006

• University of Michigan

  BS, Mechanical Engineering

  1996 — 2001

Skills

• React.js
• Statistical Programming
• Apache
• Algorithms
• Big Data Analytics
• Statistics
• Data Analysis
• Modeling
• Analysis
• Machine Learning
• Python
• Simulations
• Research
• Big Data
• Amazon Web Services (Aws)
• High Performance Computing
• Numerical Analysis
• Choice Modeling
• Web Development
• C++
• Node.js
• Matlab
• Numerical Linear Algebra
• High-Performance Computing
• Mathematics
• Transportation Economics & Policy
• Mathematical Modeling
• Optimization
• Technical Communication
• Economics
• Optimizing Performance