Engineering scalable pipelines and workflows
Designing and shipping scalable solutions to specialized problems across the software engineering discipline.
Experience
A progression from direct shot & asset support to system design, engine modernization, and platform‑level performance + workflow instrumentation.
DreamWorks Animation
Blizzard Entertainment
Twitch Interactive
Intel Corporation – Pre‑Silicon Validation Engineer Intern
Intel Corporation
University of Kentucky – Machine Learning Research Assistant
University of Kentucky
University of Kentucky – Junior Systems Automation Engineer
University of Kentucky
Production Credits
Representative production involvement across feature animation, large‑scale game engine development, and mobile platform client engineering.
DreamWorks Animation (Feature Film)





Blizzard Entertainment (Game Engine)

Twitch Interactive (Mobile Platform)

Core Engineering Strengths
I build graphics and content tooling systems that stay performant, observable, and easy for artists & engineers to evolve. Below is a concise view of the durable skill surface I apply across roles.
Rendering & GPU
Real‑time / offline shading & compute features with explicit performance envelopes and profiling hooks.
- PBR & lighting integration
- Particles / instancing paths
- Shader authoring & review
- GPU capture analysis
Procedural & Data Tooling
USD / node graph workflows exposing intent early; non‑destructive layering & dependency reduction.
- Layering & variant policy
- Dependency pruning & cache use
- Publish validation surfaces
- Contextual UI affordances
Performance & Reliability
Measurement culture: budgets, instrumentation, regression nets, staged hardening before scale.
- Frame & task instrumentation
- Resource / memory budgeting
- Deterministic test scenes
- Guardrails & activation flags
Iteration & Delivery
Ambiguity → actionable slices; feedback surfaced early to keep users in the loop.
- RFC & scope framing
- Vertical slice prototyping
- Integration & rollout gates
- Adoption + impact follow‑through
Collaboration & Enablement
Translate between engine, tooling, and artist mental models; reduce opaque complexity.
- Cross‑discipline alignment
- Lightweight documentation
- On‑ramp & training material
- Healthy review culture
Technical Judgment
Bias for solutions that are testable, explainable, reversible; explicit trade‑off framing.
- Trade‑off articulation
- Latency vs fidelity balance
- Risk surfaced early
- Maintenance cost awareness
Selected Project Media
Visual slices from independent engines, simulation experiments, and rendering studies.
Contact / Connect
For collaboration or technical discussion related to rendering, engine systems, or tooling—feel free to reach out.
Legacy / Extended
Older write‑ups, exploratory prototypes, and incremental engine dev logs are retained in the archive section for historical context.
Continuously pruned for clarity & relevance.