The path so far
Experience &
perspective.
Building on a foundation in backend engineering, with a growing focus on the systems that make AI useful.
- Dec 2024 - Present
Plano, TX
Current roleSoftware Engineer
Viridia Solutions Inc.
- Design and implement backend infrastructure for AI workflows, including durable job lifecycles and recovery behavior; current platform work is in development.
- Build and evaluate self-hosted LLM serving with representative workloads, performance measurements, and GPU resource checks.
- Develop applied ML evaluation using causal inference, cross-fitting, and feature validation, with careful separation of modeled estimates from measured outcomes.
- Improve production data services through defect diagnosis, targeted fixes, and recovery tooling.
- Design an agent-assisted testing platform in development, coordinate implementation, and mentor junior engineers and interns.
- May 2023 - Dec 2024
Plano, TX
Junior Software Engineer
Viridia Solutions Inc.
- Built event-driven backend services for connected-device data and live dashboards using TypeScript, NestJS, and AWS.
- Improved MySQL query performance through composite indexing and schema tuning.
- Aug 2021 - Mar 2022
Las Vegas, NV
Graduate Research Assistant
University of Nevada, Las Vegas
- Simulated industrial-control network attacks and analyzed PLC traffic using Python and Wireshark.
- Jan 2019 - Jan 2021
Las Vegas, NV
Software Engineering Intern
Rainbow Robotics USA
- Built robot order-management software with Flutter and Clover SDK integrations, and C++ safety-monitoring components.
Always learning
Education
Georgia Institute of Technology
Master of Science in Computer Science
University of Nevada, Las Vegas
Bachelor of Science in Computer Science
The toolkit
Skills I work with.
Backend & Distributed Systems
- TypeScript, NestJS, Node.js, Java, and SQL
- Event-driven services, durable jobs, and API design
- Kafka, Redis, MQTT, MySQL, and ClickHouse
- Database performance, data pipelines, and recovery tooling
AI Infrastructure
- Python, vLLM, and llama.cpp
- Self-hosted GPU inference and model integration
- Workload benchmarking, throughput, and tail latency
- Agent workflows and browser automation with Playwright MCP
Applied ML & Evaluation
- Causal inference and double machine learning
- Cross-fitting, feature validation, and sensitivity analysis
- XGBoost, LightGBM, and scikit-learn
- pandas, NumPy, and reproducible analysis
Engineering Practice
- AWS, Docker, Terraform, and Git
- Integration testing and deterministic regression checks
- Production debugging and operational qualification
- Technical design, delivery coordination, and mentoring
Looking for my résumé?
Get in touch for a version tailored to backend or AI infrastructure roles.