Hi, I'm Kiowa

Software Engineer with 15+ years of experience. I started writing code back in high school, and have done so professionally for BioTech Companies. I build genomics pipelines, train AI models on a GPU cluster I used to mine crypto with, and I'm working on a protein folding simulator that I hope will advance protein research.

GitHub Resume
Expertise

Technical Skills

Programming & Systems

Building robust, performant applications across multiple languages and paradigms.

Python Python
C C
C++ C++
C# C#
Go Go
JavaScript JavaScript
SQL SQL
R R
Ruby Ruby

Compute & Machine Learning

Designing and deploying ML models and distributed computing solutions.

PyTorch PyTorch
TensorFlow TensorFlow
scikit-learn scikit-learn
Spark Spark
OpenCV OpenCV

Pipelines & Workflow

Creating reproducible, scalable data pipelines and CI/CD workflows.

Nextflow Nextflow
Snakemake Snakemake
Docker Docker
Git Git
CI/CD CI/CD

Cloud & Infrastructure

Deploying and managing cloud-native applications and infrastructure.

AWS AWS
Azure Azure
GCP GCP
Kubernetes Kubernetes
Terraform Terraform
Ansible Ansible
Linux Linux
Redis Redis
Nginx Nginx

Data & Compliance

Ensuring data integrity and regulatory compliance in sensitive environments.

PostgreSQL HIPAA FDA CLIA ISO

Specialized

Deep expertise in GPU computing, ARM architecture, and telemetry systems.

GPU Workloads ARM Computing Telemetry Embedded Systems
Career

Professional Experience

Medtronic
Software Test Engineer II
08/2023 - Present
Mounds View, MN
  • Designed and validated automated data pipelines supporting regulated production and testing systems
  • Built Python and C validation frameworks with reproducibility and system reliability
  • Developed and maintained PostgreSQL systems for clinical and trial datasets
  • Integrated SAP and PowerBI workflows to improve data visibility and system observability
  • Contributed to software test methods supporting release of the Symplicity Spyral Renal Denervation System
University of Minnesota
Senior Software Engineer
05/2021 - 08/2023
Minneapolis, MN
  • Engineered Python and Golang pipelines for large genomic and spatial datasets
  • Optimized compute workflows for scalability, memory efficiency, and reproducibility
  • Collaborated with clinicians, genetic counselors, and researchers to deploy secure informatics tools
  • Contributed to peer-reviewed publications through development of validated computational workflows
Memorial Blood Centers
Data Scientist
02/2019 - 05/2021
Saint Paul, MN
  • Built and optimized data platforms handling large, sensitive donor and patient datasets
  • Developed risk assessment and data ingestion systems integrating legacy and modern data sources
  • Ensured compliance with HIPAA and data privacy standards in all software solutions
Medtox Laboratories
Data Scientist
01/2018 - 02/2019
St. Paul, MN
  • Designed relational data systems supporting high-volume toxicology laboratory pipelines
  • Led modernization efforts from paper-based workflows to centralized, scalable software platforms
  • Implemented secure access controls and compliant data handling practices for protected health information
Background

Education

Master of Science
University of Minnesota - Twin Cities
Bioinformatics & Computational Biology
Bachelor of Science
Metropolitan State University
Biochemistry
Writing

Blog

January 25, 2025

Building Protein Heaven: A Research-Grade Molecular Folding Platform

Building an open, AI-accelerated molecular folding simulator designed to push beyond current distributed computing efforts and advance biological research.

Read more →
January 20, 2025

GPU Workload Distribution Patterns

From crypto mining to AI training: strategies for efficiently distributing ML workloads across a homelab GPU cluster.

Read more →
January 15, 2025

Scalable Genomics Pipelines in Python

A beginner-friendly guide to representing DNA, analyzing sequencing data, and building genomics pipelines in Python.

Read more →
Connect

Let's Work Together

I'm always interested in discussing new opportunities, innovative projects, or ways to push the boundaries of data systems and compute infrastructure.

Email LinkedIn GitHub