Core contributor on a small team building out an enterprise AI platform with cross-product unification

• Designed and implemented a scalable Retrieval-Augmented Generation (RAG) pipeline for document ingestion, indexing, retrieval, and LLM-based reasoning

• Developed a hybrid search architecture using vector embeddings and BM25, improving top-k retrieval relevance across large document corpora

• Built document intelligence pipelines to classify documents and extract structured data from unstructured sources, including PDFs.

• Implemented clickable citations with highlighted source previews, improving answer transparency, user trust, and in-session exploration.

• Built and deployed containerized RAG services and platform APIs, leveraging Terraform-based Infrastructure as Code (IaC) to manage multi-environment deployments

API Platform:

• Singlehandedly researched and implemented IaC validation for org-wide usage, complete with Github Actions workflows.

• Built a Go library and network of agents/skills for writing unit and integration tests for Terraform, Docker, and Kubernetes configurations using Terratest, bringing infra validation efforts from hours/days to minutes.

• Wore multiple hats (development and quality), adding Terraform provider features in Go, building out the custom C# middleware with DB/ cloud syncing, and writing complete integration tests with Terratest.

• Often operated at a systems level, helping make high-level architectural decisions for an API platform eventually servicing upwards of 100 million users.

• Helped pioneer new organizational best practices for infrastructure provisioning using modules and custom Terraform providers, advising teams on their implementations and creating extensive documentation.

• Created Azure Workbooks for visualizing performance of every API onboarded to our API platform, capable of splitting request data between the gateway layer and backend layer.

• Prototyped an API contract validation service with a Reactflow dashboard, visualizing all APIs and their consumers/providers.

Maintenance Connection:

• Ended an automation freeze, navigated from 0% -> 60-70% in-sprint automation, nearly eliminating manual regression testing and sharply increasing velocity

• Went from many to 0 broken tests, and continuously maintained 100% test confidence across our more than 2000 GUI and graphQL automated test cases

• Worked with QE leaderahip to dictate standard work around in-sprint automation and validation of acceptance criteria

• Created a performance dashboard prototype in grafana which displays k6 metrics

• Performed deploys to production

Researched and prototyped a project for ingesting BLE accelerometer data

• Dictated a data model for the devices and built an API to service this data

• Deployed using docker-compose and an RDS SQL database for storage

• Aided in implementation of the BLE data ingestion service using a Kinesis Data Stream

Developed a QR code scanning iOS app for BLE device data creation, streamlining the customer delivery & support process

• Implemented a test automation platform, with cross platform testing (Web <-> Mobile) both front-end and back-end capabilities (UI and GraphQL functions). Achieved complete GraphQL coverage through Postman.

• Drafted extensive QA documentation

• Worked on site directly with customers for delivery and support, having troubleshooted major, system-halting issues.

• Performed large-scale GIS data management with QGIS

• Managed and instructed a team of interns to perform GIS data management