Software engineer with production experience 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

Software Engineer Intern @ Domo (Sep 2025 - Present)

  • Integrated Domo’s data platform with Snowflake and BigQuery, enabling reliable bi-directional data transfer for 50+ enterprise clients.
  • Built and optimized Databricks data pipelines processing 10M+ records daily, reducing processing time by 40%.
  • Improved API response times by 60% through database query optimization, connection pooling, and Redis caching.
  • Automated data validation workflows, reducing manual QA effort by 20 hours/week and improving accuracy to 99.9%.

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

  • 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.