# Chris Pecunies

> Software Engineer with expertise in Rust, Python, Go; alongside other AWS, Azure, and cloud tooling

Profile: https://flows.cv/chrispecunies

Software engineer with over 4 years experience with Rust, Golang, Python, and JavaScript building full-stack working with cloud services. I have facilitated the creation of training materials for AWS and Microsoft Azure web services, constructing and showcasing practical complex cloud architectures and novel services.

I have worked with Python to build projects touching on deep learning, web service development, signal processing, multimedia, UI/UX, and concurrency. I have performed Linux server administration, and have worked with Linux-based servers for each of my prior roles.

## Work Experience
### DevOps Engineer @ Hashgraph
Jan 2025 – Jan 2025 | Seattle, Washington, United States

### Software Engineer @ WiseBlocks LLC
Jan 2022 – Jan 2024 | Golden, Colorado, United States
• Produced technical training demos for cutting-edge AWS and Azure products showcasing practical use-
cases of advanced cloud architecture and novel technologies
• Created training routines for a range of technical DevOps procedures using AWS and Azure, deploying
mock cloud infrastructure provisioning and management, and data engineering workloads
• Created programs and workflow-enhancing scripts with Python to automate AV processes in creation of
training materials using

### AWS Consultant @ Impresys Software Corporation
Jan 2019 – Jan 2022 | Seattle, Washington, United States
• Produced technical training demos for cutting-edge AWS and Azure products demonstrating practical
use-cases of novel cloud architecture and technologies
• Created training routines for a range of technical DevOps procedures using AWS and Azure, deploying
mock cloud infrastructure provisioning and management, and data engineering workloads
• Created programs and workflow-enhancing scripts with Python to automate AV processes in creation of
training materials using Python (signal processing, computer vision, Windows API, AV processing), Bash
scripting, and C++

### Research Assistant @ GEMSEC University of Washington
Jan 2018 – Jan 2021 | Greater Seattle Area
• Data analysis through principal component analysis, clustering, and regression analysis and digital
signal processing with with Python to predict sequence-property relationships and graphene-binding
affinity of neuropeptides
• Deployment and provisioning full-stack web applications with REST API using AWS, React, Django,
PostgreSQL, and Docker
• Assembled reports, created and followed strong project deadlines, and presented effectively
• Led a team of undergraduates to determine amino acid sequence motifs most linked to graphene-
binding in neuropeptides


## Education
### B.S.
University of Washington


## Contact & Social
- LinkedIn: https://linkedin.com/in/chrispecunies
- Portfolio: https://cal.com/chrisp
- GitHub: https://github.com/clpi
- Portfolio: https://Clp.is
- GitHub: https://www.github.com/clpi
- Portfolio: https://www.pecunies.com
- Email: mailto:chris@pecunies.com

---
Source: https://flows.cv/chrispecunies
JSON Resume: https://flows.cv/chrispecunies/resume.json
Last updated: 2026-04-17