Associate Software Engineer at Domo building scalable data pipelines and cloud integrations. MS Computer Science candidate at Utah State University specializing in AI/ML with published research in IEEE and ACM. Nominated for TA of the Year 2025 for exceptional teaching in software engineering and multi-agent systems.

Strong advocate for clean architecture, test-driven development, and twelve-factor methodology. Linux power user (Arch/NixOS) with deep systems programming knowledge.

Skills

Languages: Python, JavaScript/TypeScript, Java/Kotlin, C/C++, Rust, C#, Go, Ruby, Bash

Backend: SpringBoot, Django, Flask, Rails, .NET/ASP.NET, Node/Express, Tokio

Frontend: React (Query, Native), Vue, Next.js, Tailwind, Bootstrap

Data Engineering: Databricks, Snowflake, BigQuery, Kafka, Elasticsearch

Databases: PostgreSQL, MySQL, MongoDB, Redis, SQLite, DynamoDB

Cloud & DevOps: AWS (EC2, S3, Lambda, RDS, ECS/EKS), GCP (Compute, Cloud Run), Azure, Docker, Kubernetes, Jenkins, GitHub Actions

AI/ML: PyTorch, TensorFlow, NumPy, Pandas, Scikit-learn, OpenAI API, Hugging Face

Experience

Associate Software Engineer @ Domo (Apr 2026 - Present)

  • Build and ship features across Domo’s data core — the query engine that runs the entire platform — working across Java, C++, and Go services covering DataSet ingestion, query execution, and data transformation.
  • Dig into complex CRIs spanning Adrenaline DataFlow, Domo’s custom database internals, and multi-service call stacks, tracking down root causes and shipping fixes.
  • Implement Debezium-based CDC pipelines for real-time data replication, wiring up change event streams across distributed data sources.
  • Work directly inside Domo’s proprietary database engine and Adrenaline DataFlow, fixing correctness bugs and improving query execution performance at the storage and processing layer.
  • Join customer support calls to help diagnose live data integration failures, translating deep technical findings into fast resolutions that directly unblock customers.
  • Represented the data core team at Domopalooza — Domo’s annual user conference — engaging with enterprise customers and showcasing platform capabilities.

Software Engineer Intern @ Domo (Sep 2025 - Apr 2026)

  • Led a team of 3 fellow interns, assigning tasks, unblocking teammates, and driving consistent sprint delivery across the internship program.
  • Shipped production code across Java, C++, and Go services in Domo’s data core — the query processing backbone of the entire product — building out DataSet ingestion pipelines that run at scale.
  • Tracked down and fixed CRIs in Adrenaline DataFlow and JDBC/REST connector integrations, reading service logs, analyzing SQL execution plans, and shipping production fixes.
  • Built and debugged connectors to BigQuery, Snowflake, Redshift, and Databricks, implementing OAuth, schema mapping, and cursor-based pagination to get reliable, idempotent data ingestion working correctly.
  • Practiced TDD when building connector and ingestion features, writing tests first to drive design and catch regressions; joined customer support calls to help debug live data integration issues.

Graduate Teaching Assistant @ Utah State University (Aug 2025 - Apr 2026)

  • Deliver lectures and labs for CS5110 (Multi-Agent Systems) and CS3450 (Software Engineering).
  • Nominated for TA of the Year 2025 for exceptional teaching and mentoring.
  • Achieved 95% student satisfaction rating through organized study groups and office hours.

Junior Software Engineer @ Provider Resources Inc (Oct 2024 - Sep 2025)

  • Championed TDD adoption, increasing code coverage from 40% to 85% and reducing production bugs by 50%.
  • Led Docker containerization initiative, reducing deployment time from 2 hours to 15 minutes.
  • Migrated team from Azure DevOps to GitHub with CI/CD automation, reducing build times by 35%.
  • Architected workflow automation solutions saving 100+ hours/month and reducing costs by $50K annually.

Software Engineer Intern @ ASPIRE Research Center (Jul 2024 - Dec 2024)

  • Collaborated on upgrading electric bus fleet infrastructure from OCPP 1.6.1 to OCPP 2.0.1.
  • Developed real-time monitoring UI tools, improving operational efficiency by 30%.

Full Stack Developer Intern @ iFIT (May 2024 - Aug 2024)

  • Developed web interfaces using React.js/Next.js with cross-browser compatibility.
  • Created RESTful APIs and GraphQL endpoints, reducing API response times by 25%.

Education

M.S. in Computer Science (AI Specialization) - Utah State University (2025-2026)

  • Focus: Machine learning, multi-agent systems, distributed computing
  • Published research in IEEE and ACM
  • Nominated for TA of the Year 2025

B.S. in Computer Science - Utah State University (2021-2024)

  • Graduated with honors (3.8+ GPA)
  • Nominated for Undergraduate Researcher of the Year 2024

Publications

  • IEEE: Electric Vehicle Charger Reservation Service (Aug 2024) - Web application with LSTM neural networks and OCPP protocol, deployed at USU’s EVR facility.
  • ACM: Comparing Feedback from Large Language Models and Instructors (Apr 2024) - Presented at Learning@Scale 2024, evaluating AI feedback in CS education.