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Christopher Rai

Development
VA, United States

Skills

DevOps

About

CHRISTOPHER RAI's skills align with Programmers (Information and Communication Technology). CHRISTOPHER also has skills associated with Consultants and Specialists (Information and Communication Technology). CHRISTOPHER RAI has 8 years of work experience, with 3 years of management experience, including a low-level position.
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Work Experience

MLRE
July 2022 - November 2023
  • July 2022 - Nov 2023 Created all infrastructure in Azure via Terraform and Landing Zones, including subscriptions in Europe to obtain GDPR compliance allowing for car sales in Europe Assisted with migration from Heroku to a multi-cloud environment (AWS, Azure, GCP) Created App Center build and deploy pipelines for Android and iOS mobile applications Built and maintained all infrastructure and CI/CD pipelines for web applications hosted on AWS and GO applications on Azure via GitHub Actions, Terraform, Argo, and Helm Administered User Management Systems, including Cognito, Azure AD Created ServiceNow workflows and introduced ITIL and asset management to the enterprise Built and maintained pipelines for embedded software including infotainment and OTA updates Worked with architects to integrate applications with MuleSoft, SalesForce, and SAP Administered enterprise tools, including Blackduck, SysDig, CloudFlare, Cato, GoDaddy, JFrog Configured DataDog as part of an enterprise monitoring strategy integrated with PagerDuty

MLOps Engineer

MOTER & AIOI-ATG
April 2021 - July 2022
  • The sole platform and MLOps Engineer, consulted on Toyota, NXP, and TIMS projects Obtained APN partner status for MOTER by piloting ADX for re:Invent 2021, created both Datasets and APIs calling models, securely published in the AWS Marketplace Created APIs to allow dozens of web applications to reference data and models at scale Created ETL pipelines in AWS with Glue and Spark jobs to deliver clean data to data scientists in SageMaker and business analysts in Athena and QuickSight, for insurance and risk reports Hardened data delivery from the edge leveraging Lambda applications, Kinesis, and MQTT Led the MLOps transformation, introducing DVC and MLFlow into model pipelines Revamped DevOps processes, introducing GitLab, Terraform, ELK and Dome9 into application pipelines, harded edge deployment with GreenGrass, Iceberg, and Fleetwise

Lead Associate, DevOps Engineer

FANNIE MAE
August 2020 - April 2021
  • Assisted with stakeholder management, strategic vision and executive presentations Managed 3 contractors and 3 employees, contributed to staffing, budgeting and overall strategic decision making for the organization as principal DevSecOps lead for the team Developed integrations and plugins for features and metrics of CI/CD tools to better integrate with the enterprise ecosystem to reduce application delivery time by 90% Created the first enterprise-wide container and image management workflow and toolchain Built and configured IBM Urban Code products on-premises and in ECS/ECR Hardened the delivery and usage of service catalog items via AWS Code Pipeline Automated real-time monitoring and alerting for system availability, resource utilization, DB activity and performance using Splunk and Dynatrace

Senior Associate, DevOps Engineer

February 2019 - August 2020
  • pipeline onboarding for 350+ applications (150+ cloud) over 6 months Automated provisioning and management of infrastructure, on-premises (Puppet) and AWS Coordinated with teams to design enterprise solutions for the CI/CD pipeline (Jenkins) with controls and migrated CI/CD tools to AWS from on-premises (VMWare)

Associate, DevOps Engineer

Technical POC for the DevOps
January 2018 - February 2019
  • tools and CI/CD pipelines for internal and Deloitte auditors Saved company ~$200,000/year by resolving licensing issues closing significant deficiencies

DevOps Technical Lead

July 2016 - January 2018
  • Reduced deployment time and increased maintainability of enterprise tools while on a SRE team Automated components of the enterprise pipeline to enable the self-service of application teams

Junior DevOps Engineer

FANNIE MAE
January 2016 - July 2016
  • Administered SDLC lifecycle for 1100+ applications along the Fannie Mae Pipeline

Lead MLOps Engineer

FISKER INC
November 2023 - Present
  • Implemented AWS WAF and Azure AGIC to detect and prevent attacks on production systems Self-hosted HashiCorp Vault as private CA to enable mTLS and provide certificates for each VIN Built and administered multiple Kafka clusters, self-hosted, HDI, EventHubs, and MSK Built model pipelines using Azure ML Studio, with ADF, Synapse, and Blob, deployed to AKS Created Azure DevOps pipelines for Yocto builds incorporating SAST and DAST scans Provisioned and configured all DS/ML tools in AKS and EKS including Clickhouse, Airflow, Dask, Superset, MLflow, and Vector. Assisted with ETL and data pipelines Managed team of 3 US based and 3 offshore employees, contributed to staffing, budgeting and overall strategic decision making for Cloud Infrastructure, DevOps, ETL, IT and InfoSec teams

Education

Wabash College

B.A.