Matthew R. Walker

matt.r.walker@gmail.com | 9604 Vista View Dr, Austin, TX 78750

Education

University of Texas at Austin
MS, Computer Sciences, May 2005 | Advisor: Dr. Inderjit Dhillon
Rice University
BS, Electrical and Computer Engineering, May 2003 | Magna cum laude

Experience

Simon AI – Composable AI At-Scale (CTO, CISO, and Co-Founder)
Nov 2013 – Present
Co-founded and scaled Simon AI from inception to a leading Customer Data Platform serving enterprise clients including ASOS, Travel & Leisure, Equinox, Resy, SeatGeek, and Bombas. Led engineering organization to build Simon's Agentic Marketing Platform, which combines composable AI agents with a composable CDP to enable next-generation customer personalization and cross-channel orchestration.
OmniBuilds.com – 3D Printing Marketplace (Advisor)
Oct 2017 – Oct 2018
Provided technical advisory services on platform architecture and scalability.
Apple – Fraud Detection At-Scale (Data Scientist)
Apr 2013 – Nov 2013
Applied machine learning and statistical methods to product analytics and user experience optimization.
Etsy – Large-Scale Analytics (Staff Software Engineer)
Dec 2009 – Apr 2013
Created EMR-based analytics platform with cascading.jruby query language and extensive custom operator library written in Scala. Built CEP-like visit query operators enabling fine-grained attribution of user actions to site features. Scaled system to over 300 jobs powering A/B testing, search experiments, member lifecycle analysis, and business intelligence dashboards.
Adtuitive – Online Advertising Research (Applied Research Scientist)
May 2009 – Dec 2009
First hire brought on to research domain-specific page-to-product matching algorithms. Built on-demand EC2 sandbox for search index analysis and algorithm experimentation. Researched IDTokenSets and custom algorithm built on Needleman-Wunsch for product name extraction. Applied engineering skills to create affiliate tracking system, provide searchable product tags, and build web ETL pipeline in cascading.jruby.
Pulse Meridian – Data-Driven Business Optimization (Partner, Analyst)
Jun 2007 – Aug 2008
Founded startup with graduate school colleagues. Developed multilinear and multivariate polynomial models to optimize semiconductor yield for Pintail Technologies. Provided CNET data mining consulting services to lift click rates in their online advertisement platform. Built several web applications, one currently used to measure the efficacy of lithotripsy treatments by a urology practice.
Pervasive Software – Dataflow Engineering and Hyper-Parallel Dataflow (Staff Software Development Engineer)
Nov 2006 – May 2009
Converted dataflow framework into pure Java library, seeing project through to general availability. Designed composition language and embedded library in JRuby to further improve developer productivity. Implemented, benchmarked, and optimized several key operators used for delimited text I/O, k-means co-clustering, support vector machine classification, and Monte Carlo simulation. Conducted original research in concurrent programming using a Java framework for dataflow applications. Implemented and benchmarked a variety of novel dataflow formulations of algorithms including decision tree training, rule-based name standardization, and k-means clustering.
Scott & White Hospital – Database Optimization (Software Consultant)
Sep 2006 – Sep 2012
Developed, modified, and maintained library of stored procedures, views, and Crystal Reports in pathology department's PowerPath system. Collaborated with physicians to generate reports for auditing, administration, and research.
Texas A&M University – Secure Distributed Applications (Senior Software Applications Developer)
Jun 2005 – Nov 2006
Designed and implemented distributed applications spanning authentication, identity management, web apps, provisioning, and bulk mail. Coordinated subsystem deployment, testing, interface features, and notification content.
University of Texas at Austin – Research (Graduate Research Assistant)
Sep 2003 – Dec 2004
Conducted original research in data mining and optimization focusing on constrained k-means clustering. Solved optimization problems in C++ using MOSEK, while addressing noisy constraints.
MIT Lincoln Laboratory – Satellite Tracking (Summer Intern)
Jun 2002 – Aug 2002
Upgraded real-time ionospheric monitoring system from FORTRAN and C to object-oriented C++. Measured and corrected for ionospheric activity's effect on satellite tracking using GPS signal bias.
Rice University – Parallel Disk Scheduling (Summer Research Assistant)
Jun 2001 – Aug 2001
Simulated the PC-OPT parallel disk scheduling algorithm. Developed software testing environment and collected data to identify the optimal prefetch schedule.
Rice University – Device Drivers (Summer Research Assistant)
Jun 2000 – Aug 2000
Implemented device drivers and firmware for VME cards used as high-speed data selectors in the Muon Detector at CERN.

Teaching

Skills

Agentic AI & Machine Learning: Pydantic AI, Langfuse, agent architecture, LLM integration, machine learning, data mining
Programming Languages: Python, TypeScript, JavaScript, Scala, SQL, Bash
Data Platforms & Processing: Snowflake, Redshift, Trino, Spark, EMR, Hadoop, Hive
Web & Application Frameworks: Django, React, REST APIs
Infrastructure & Databases: Redis, Memcached, Elasticsearch, PostgreSQL, MySQL
Cloud & DevOps: AWS (EC2, S3, EMR), distributed systems, system architecture
Leadership: Engineering management, technical architecture, security & compliance, startup co-founding

Publications

Nena Marin, Srivatsava Daruru, Joydeep Ghosh, Matt Walker. "Pervasive Parallelism in Data Mining: Dataflow Solution to Co-Clustering Large and Sparse Netflix Data." The Fourteenth International Conference on Knowledge Discovery and Data Mining (KDD), July 2009.
Matt Walker, Kevin Irwin. "Four Paths to Java Parallelism." Java Developer's Journal, Vol 13, Issue 9, September 2008.
Jim Falgout, Matt Walker. "It's a Multi-Core World: Let the Data Flow." Java Developer's Journal, Vol 12, Issue 8, August 2007.
Matt Walker. "GRIMS/RTSEQ Object-Orientation Report." MIT Lincoln Laboratory, Project Report SS-7, November 7, 2003.

Honors & Awards