Experience

Software Engineer

Mercor

Feb 2026 – Jul 2026

Contract role orchestrating agentic coding workflows with Claude Code to reproduce, diagnose, and fix issues across unfamiliar repositories, reviewing agent-generated patches for correctness, regressions, and test coverage before submission.
Developed 135+ Python coding problems, reference solutions, and test suites across 25 repositories to train AI coding models, earning a 99%+ quality rating; these were written without AI assistance using official documentation.
Evaluated AI-generated code and documented actionable feedback on correctness, architecture, edge cases, and regressions, and annotated code and images for reinforcement learning pipelines using detailed rubrics.

ResMed

May 2024 – Aug 2024

Restored 25+ Windows servers during the global CrowdStrike SEV-1 outage and helped automate recovery for the remaining fleet, reducing downtime.
Monitored production multi-cloud infrastructure across AWS and Azure, using Azure Monitor and Kusto (KQL) to diagnose incidents and improve service reliability.
Built a self-service Kubernetes training platform on AKS with a supporting API, Azure DevOps pipelines, RBAC, and documentation, streamlining onboarding and cluster deployments for a 12-person team.

Texas Tech IMSE

Oct 2023 – Jan 2025

Built and maintained 15+ Power BI dashboards for the IMSE department and the College of Engineering, triaging report requests from non-technical staff and sending regular status updates.
Designed and standardized data pipelines in Python, Pandas, SQL, and DAX, turning ad hoc reporting into repeatable, validated workflows.

ResMed

Jun 2023 – Sep 2023

Automated HIPAA-compliant Skilled Nursing Facility (SNF) server deployments and patching with Ansible and Terraform, making deployments consistent and repeatable as infrastructure as code.
Built YAML CI/CD pipelines in Azure DevOps to test, version, and deploy Terraform infrastructure as code.
Placed 2nd in a company-sponsored cybersecurity Hackathon (CyberRange).

Texas Tech Applied Vision Laboratory

Aug 2022 – Jan 2023

Built Python data pipelines to collect, segment, and preprocess 100+ hours of video for evaluating real-time computer vision models.
Contributed to the development and evaluation of Mask R-CNN models in PyTorch, analyzing model performance on real-world video data.

Texas Tech TLPDC

Aug 2022 – Jan 2023

Tutored students in Calculus II, helping them understand complex mathematical concepts and improve academic performance.