Peter Halliday Email & Phone Number

Santa Clara, Ca, Us

Building a global team from scratch to build out an AI Platform that helps drive value for the Enterprise side of ServiceNow. Deploying the first streaming machine learning use case in production for ServiceNow that achieves a 90% increase in velocity of lead scoring. Reducing the time to production of delivering AI solutions. Delivering a solution that increased the security over the previous solution. Working collaboratively with Product side of the business to help contribute to new features. Driving user adoption by organizing training, regular communication, and reusable tool development.

Santa Clara, Ca, Us

uilding out a MLOps Platform for producing consistent, reliable and scalable patterns for teams to experiment and deploy Machine Learning and Generative AI with the purpose of maximizing business value. Spearheading adoption of DevOps principles to fully deploy end to end Machine Learning including Terragrunt, Helmfile, Cloudbees, and jFrog Artifactory. Designing and deploying a standalone MLflow Registry served in Kubernetes to support registering ML from multiple destinations.

Own and manage a private equity company that invests in distressed real estate and distressed debt. Doing private lending Commercial real estate underwriting. Building software to automate real estate.

Deerfield, Il, Us

Built a team from scratch of up to twenty-seven Machine Learning Engineers. Productionized and optimized ML and analytics across pharmacy, retail, marketing and finance verticals achieving $972 million in value by both reducing capital and lifting revenue. Reduced cloud consumption costs across the department by 50%. Built a ML and analytics platform on Azure that supported over 36 independent projects across development, QA and several production environments. Developed and maintained a Databricks configuration system that automated the configuration of nearly 100 independent Databricks workspaces. Built accelerators that were Git repositories with ready-made functionality around Databricks, Kubernetes, python, and several other areas that reduced the time to implement solutions. Helped develop an education series for upskilling the department on ML Engineering topics. Developed hiring and onboarding processes adopted by the whole department.

Deerfield, Il, Us

Member of a team delivering analytics and ML at petabyte scales. Built APIs using FastAPI that delivered custom stock-level predictions for each drug category to each pharmacy delivering over $200 million/year in savings. Architected a Disaster Recovery plan that helped a series of ML models used to reduce the cost to fill a prescription and achieve $15 million/year in savings. Built a multi-tenant Kubernetes cluster configuration framework using Kustomize that handled all the API, real-time ML models, and interactive web applications. Assisted building and maintaining an Azure-based deployment system delivered via FastAPI that utilized in-house ARM templates.

Eindhoven, North Brabant, Nl

Member of a distributed team building the Open Location Platform, a platform that allowed customers to run bring in data and run batch and streaming workloads against location related attributes. Troubleshooting complex performance issues in Apache Flink and Apache Spark. Building and maintaining Java micro services on Kubernetes using Springboot. Designed and implemented an application to help store and deploy service-level access credentials encrypted in GoLang. Productionize their Kubernetes scheduled jobs with Python.

Eindhoven, North Brabant, Nl

Worked in the Highly Automated Driving division helping to build maps for manufacturers. Helped turn around a team of 6 ML Engineers doing that was late and underperforming. Helped build a data pipeline framework to that used Python and Elixir to ingest petabytes of data. Data pipeline was a DAG workflow engine built with HT Condor, a cluster manager. Leveraged AWS Services like CloudFormation, OpsWorks, RDS, SQS, SNS. Mentoring junior programmers, guided architecture decisions. Optimized machine learning models running against images and LIDAR data coming from the cars. Replaced a manual process of processing the drive data with an automated one. Achieved both cost reductions and performance increases.

Eindhoven, North Brabant, Nl

Helped build a data engineering pipeline to process mobile location data with Scala and Apache Spark. Helped turn around a team that was late delivering to help rescue the project. Helped spearhead transition from a standalone Spark cluster to utilizing EMR via AWS DataPipeline, which reduced the cost and increased the speed dramatically for processing a day’s worth of data from over a day to just hours.

Santa Clara, California, Us

Worked as a part of a team to develop a distributed admin tool that lowered the cost of managing the complexity of Apache Cassandra and Databricks Enterprise. Tool help drive the early adoption. Primarily used Python and Clojure on backend systems that provide administrative tools for the Apache Cassandra and DataStax Enterprise databases. Programmed minimally in JavaScript and the Dojo framework. Designed and implemented backup and recovery solution that was eventually patented. Helped achieve 10x scaling of the system to support 1000 concurrent nodes. Dealt heavily with cloud environments like Amazon Web Services and others. Some usage of Apache Spark and Apache Hadoop.

Ithaca, Ny, Us

Working at the Cornell University Library as a programmer for several of their repositories including http://arxiv.org/. Doing Python, Perl, and other magical things to connect researchers around the globe. Worked in collaboration with teams at CERN, Harvard, and Stanford.

Owned and ran a software consulting company. Oversaw independent contractors as well as managing client development teams. Developed diverse clientele across manufacturing, lobbying, and service-oriented businesses. Helping organizations that needed help with growth and performance issues. Specialized in SaaS. I created many applications based on the following languages: Python, Perl, Java, PHP, and Ruby.

Arlington, Va, Us

Opened a regional office from scratch and build the engineering. Supervised a team of five developers as a team leader. Introduced agile development techniques using Scrum that improved pace of development. Introduce test driven development style that increased the quality of code. Introduced the use of version control. Created a REST backends Python using Werkzeug Framework. Designed and implemented infrastructure and systems improvements through the use of automatic configuration management and automatic provisioning. Helped architect the upgrade of an email system that was able to achieve over a million emails per hour. Maintained some legacy Perl and PHP applications. Created a single sign-on functionality for all machines across 3 office locations and 2 datacenters.

Embedded Software Engineer doing train control, factory automation and flight control systems. Writing code in C and writing Functional Tests.

Programming websites in Perl and PHP. Administrating FreeBSD and Linux machines. Using MySQL databases.

Lynchburg, Va, Us

Programming websites in Cold Fusion. Administrating Linux Servers.

Meng, Computer Science

Bachelor Of Science (B.S.), Religion/Religious Studies

Education record

Education record