Elizabeth Thomas Email & Phone Number

Minneapolis, Mn, Us

• Contributing to the enterprise-level implementation of RAG (Retrieval-Augmented Generation) as a service to facilitate seamless onboarding for teams, enabling efficient integration of RAG into various use cases.• Developed an internal Code review assistant by leveraging a LLM to automate code review comments and post the comments to pull-request using Github app integration. This tool streamlined the initial PR review process, reducing engineers' workloads and increasing review efficiency. • Utilized Recursive URL Loaders and FAISS index embeddings to extract and index content from the Target tech blog and integrated with a Retrieval-Augmented Generation (RAG) system to significantly decrease human involvement in information retrieval.• Empowering engineering teams by strategizing the seamless integration of OpenTelemetry into Kubernetes-deployed applications, fostering a unified metric language that streamlines KPI/SLI/SLO monitoring and visualization in collaboration with Product Engineering teams. This initiative targets a significant reduction in Mean Time to Detect (MTTD) during incidents, ensuring rapid response and heightened reliability across the ecosystem.• Engineered a custom OpenTelemetry Extension designed for target-specific environments, enabling the automatic capture of runtime metadata alongside distributed tracing. This pioneering solution eliminates the necessity for intricate tracing configurations within applications, simplifying deployment and accelerating operational readiness.

Minneapolis, Mn, Us

• Developed Aggregation RESTful services deployed in Data Center, setup SLOs and distributed tracing, automated monitoring dashboards using Grafonnet and developed an autoscaler that can scale instances based on load, that powered operational reports used by team members in Target’s Distribution Centers, resulting in data efficiency and accuracy improvement.• Worked on deliverables that involve feature delivery and simplification of architecture for Stores Vendor Inbound, resulting in improved scalability to handle high volumes of vendor receive data.• Mentored engineers on the team to use/learn simpler toolkits to achieve greater architectural/operational excellence, leading to increase in code quality and faster onboarding for new team members.• Worked on setting up infrastructure on public cloud using terraform that involve in delivering the new architecture of items lookup, resulting in live migration from older architecture to new architecture of high-scale low latency applications.

Richfield, Minnesota, Us

• Implemented foundational patterns on Platform deliverables to improve performance of aggregation RESTful services using Dynamic Resource Cache Invalidation Strategy by consuming domain service published Delta MQ messages.• Improved the build times of Jenkins job by building Jenkins Slave images with pre-loaded dependencies needed for the project build using Source-to-Image (STI) process in OpenShift environment.• Developed and deployed micro services in OpenShift environment using Source-to-Image (STI) process that paved as a playground for the team to attempt various new features without causing disruption to the sandbox environment of other applications.• Developed features for Best Buy skill on Alexa/Google Home Conversational Platforms by deploying to AWS Lambda.• Automated the deployment of Alexa/Google to production using Alexa Skills Kit (ASK) API and DialogFlow API respectively, thereby eliminating the manual process involved in the deployment.

Richfield, Minnesota, Us

• Developed Aggregation RESTful services, both in Data Center and Cloud, that powered Native applications by aggregating data from various Domain services, resulting in improved response latencies for mobile applications.

Minneapolis, Mn, Us

• Designed and developed various Interactive screens that animate based on the touch/swipe on multiple flavors of tablets.

San Jose, Ca, Us

• Mentored and trained new-hires by identifying suitable tasks and guided in completing assigned goals.• Performed successful live-upgrades of customer premise headend equipments in Serbia, HongKong, Beijing and within locations in India.• Designed, developed and deployed a multi-threaded adaption interface required by Chinese SARFT governing committee.• Designed, developed and deployed various applications required by Digital Network Control Systems.

Noida, Uttar Pradesh, In

• Support for Testing of Bug Fixes in Packet Filtering.• Designed, Implemented and Tested CPM-I Optimization in NetFlow.

Deep Learning Nanodegree Foundation, Deep Learning

Bachelors In Engineering, Electrical And Electronics Engineering