Mallory Brandt

About Mallory Brandt

Passionate about data science R&D, MLOps enablement, automating model training, deployment, and monitoring, providing easy-to-use tools for data scientists to deploy their models (of a variety of languages and frameworks) from dev to prod, socializing available MLOps tooling to data scientists internal to our organization, and creating easy to use, step by step guides of how to utilize an MLOps platform. Obtained Masters of Computer Science in Data Science degree from the University of Illinois at Urbana-Champaign and currently a Lead ML Engineer and ML Platform Manager in Austin, TX. Areas of focus include but are not limited to: Python, PySpark/Scala, SQL, HTML, Flask, Java | Pandas, Scikit Learn, PyPlot, Tableau, NLP, Feature Engineering | Amazon EC2, Amazon EMR, Amazon ECR + ECS, Amazon S3, Amazon Sagemaker, Cassandra, ElasticSearch, YARN, Spark, MapReduce, HDFS | Jenkins, Bitbucket, Git, AWS CLI, JIRA, IntelliJ, JupyterStrengthfinder\'s Top 5 Strengths:FuturisticRelatorIndividualizationSignificanceWoo

Experience

1. Mlops Platform Manager

   Viasat

   May 2022 — Present · Remote - Austin, TX, US

   Technical lead for migrating AI/ML services and deployments from AWS to GCP platform- Driving the technical scope of Viasat\'s contract with the European Space Agency (valued at $24M) to research, develop, deploy, and present MLOps platform capabilities within the European Union; overseeing two ML engineers based out of Amsterdam to provide technical vision and support, curate their Jira backlog to execute project goals, complete contract requirements, and perform proof of concept works that will allow us to down-select the right technology that will fill any capability gaps we have in our platform- Owned and led the onboarding and knowledge transfer of cyber security data science model to bring them out of Jupyter notebooks and into production-ready MLOps workflows - this involved consistently communicating with stakeholders of all levels to ensure we are meeting requirements, lifting preprocessing jobs into ETL jobs, integrating CI/CD, lifting model training into SageMaker Pipelines, registering model artifacts, creating inference solutions, demoing updates for the project, deploying the final product, documenting every component of the final product, and transferring all knowledge to the owning team- Utilizing IaC (using AWS CDK and Terraform) to automate the creation of: VPC(s) and subnets, networking, security groups, IAM roles, monitoring for platform infrastructure and service deployments, EventBridge Event Buses + Lambdas to enable event-driven architecture pattern, SageMaker domains with custom kernel image attachments, Service Catalog templates for custom ML training pipelines, SNS Topics and subscribers for alerting, and more- Owner of our MLOps products and services internal documentation, where I embody customer-centric thinking by publishing and continuously updating clear, customer-facing documentation that clarifies how to onboard to an MLOps environment as well as how to effectively navigate utilizing each capability of the MLOps platform.

Education

• University of Illinois Urbana-Champaign

  Master of Computer Science, Data Science

  2016 — 2019

• University of Iowa

  Bachelor of Business Administration (B.B.A.), Business Analytics & Information Systems; Economics

  2010 — 2014

Skills

• Communication
• Scala
• Apache Pig
• Flume
• Social Media
• Teamwork
• R
• Html
• Data Mining
• Requirements Analysis
• Time Management
• Technical Recruiting
• Consulting
• Apache Kafka
• Spss Modeler
• Impala
• Soft Skills
• Recruiting
• Jenkins
• Business Intelligence
• Python
• Public Speaking
• Hive
• Sql
• Visio
• Big Data
• Microsoft Word
• Team Leadership
• Git
• Influential Communicator
• Business Analysis
• Mentoring
• Hbase
• Apache Spark
• Data Analysis
• Data Visualization
• Hdfs
• Project Management
• Sqoop
• Microsoft Office