# Skyler Zieske

> Software Engineer @ Accruent

Location: New York, New York, United States
Profile: https://flows.cv/skylerzieske

Polyglot software engineer, vim enjoyer 👨‍💻

I put GPS in hospitals.

I helped build an API platform from the ground up, eventually servicing > 100 million users.

I did some cool projects at UofM (CV / audio ML, logic design, architecture, math in finance, DSP)

Now I’m helping build a state of the art AI platform…

Reach out :)

## Work Experience
### Software Engineer @ Accruent
Jan 2026 – Present
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

### Software Engineer in Test @ Accruent
Jan 2023 – Jan 2026 | United States
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

### R&D Software Engineer @ NavvTrack®
Jan 2023 – Jan 2023 | Ann Arbor, Michigan, United States
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

### QA Engineer @ NavvTrack®
Jan 2020 – Jan 2023 | Ann Arbor, Michigan, United States
• 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


## Education
### Bachelor of Science in Engineering in Computer Engineering
University of Michigan

### Bachelor of Science in Engineering in Electrical Engineering
Wayne State University


## Contact & Social
- LinkedIn: https://linkedin.com/in/skyler-zieske-8b28b41a9

---
Source: https://flows.cv/skylerzieske
JSON Resume: https://flows.cv/skylerzieske/resume.json
Last updated: 2026-04-13