Jun 2022 – Dec 2023 · 1 yr 6 mos · Remote

• I was on the Greenplum R&D Kernel Team. Greenplum Database is a distributed relational database optimized for analytic workloads at petabyte scale.
• Take a look at the product's codebase, and my contributions to it: https://github.com/AJR-VMware
• I worked on:
• Backup and Restore
• An omnibus "server" team that encompasses storage, catalog, transaction isolation, and MPP aspects of the database
• Plugin integration
• CI/CD Pipelines
• Upstream PostgreSQL work

Apr 2021 – Jun 2022 · 1 yr 2 mos · Chicago, Illinois, United States

• Profiled and improved performance of core backend, inference, and parser code, resulting in >1,000x improvement in runtime performance. (Python, Redis)
• Re-architected and implemented system parallelization, leveraging kernel APIs and python wrapper APIs, to dramatically improve both backend runtime performance and frontend responsiveness. (Python, Linux)
• Designed and implemented key features to meet needs of biggest clients, including full rebuild of integrated analytics engine. (Python, JavaScript)
• Developed parser and inference integration for various networking software output formats, including Cisco ASA firewalls, Fortilink Fortiguard firewalls, Google Cloud Platform services, AWS Networking services, Nessus, nmap, and libpcap. (Python)

Aug 2020 – Apr 2021 · 8 mos

• Develop and implement predictive models and tools for analyzing healthcare data to provide key insights to leadership and staff. Lead the development of machine learning and AI solutions within OptionCare Health. Collaborate with business stakeholders to prioritize model development and maximize business impact. Mentor junior team members in both technical and statistical best practices.

Jul 2019 – Aug 2020 · 1 yr 1 mo

• Develop and implement models and tools for analyzing healthcare data to provide key insights to leadership and staff. Collaborate with business stakeholders to prioritize model development and maximize business impact. Mentor junior team members in both technical and statistical best practices.
• Developed company-wide automated analysis of patient medication adherence. Authored internal whitepaper demonstrating company excellence in this metric relative to industry standards. Collaborated with marketing team to leverage this result in industry relations.
• Created granular analysis of market share by patient population segment, facilitating deeper understanding of shifts in business revenue and margin.
• Developed analytical tools for automatic decomposition and analysis of trend drivers, allowing immediate visibility into key changes in the business for rapid response. Deployed the same at enterprise scale and trained all necessary staff in the use of these tools, from line-level to executive.

Sep 2018 – Jun 2019 · 9 mos · Chicago, IL

• Managed 4-6 direct reports, with the mission to automate and productionalize all recurring reporting. Additionally tasked with leveraging automation to unlock new and innovative analytic capabilities to drive business value.

Jan 2017 – Aug 2018 · 1 yr 7 mos · Chicago, IL

• Create custom analytics to support benchmarking and comparative reporting.
• Design and implement monitoring and reporting for drug utilization patterns across the entire OptumRx book of business.