S4
Feature documentary experience with end-to-end creative judgment, collaboration, and finishing pressure.
Filmmaking, AI video, post workflows
This portfolio is built to answer a customer-facing question: how do you take generative video, spatial review, creative QA, and rollout decisions and turn them into a workflow a creative team can actually trust, demo, and use?
The technical repos only matter if the creative anchor lands first: co-directing S4, working in DaVinci Resolve, and using AI-assisted post decisions in service of story, continuity, and delivery. The dedicated film proof page makes that production context visible before anyone gets to repo depth.
Feature documentary experience with end-to-end creative judgment, collaboration, and finishing pressure.
A JRE clip from the project reached a broad audience, grounding the work in real media impact.
Daily DaVinci Resolve practice connects AI outputs to editing, review, color, and delivery realities.
De-aging, green screen cleanup, and neural rendering are framed as storytelling tools, not standalone demos.
This is the recruiter and hiring-manager path: one page for creative proof, one page for the demo moment, and one page for how the workflow would be taught to a real team.
As of April 11, 2026, the featured repos below are green in GitHub Actions. That means the visible technical trust gap has shifted from red badges to public creative media.
Lint, typecheck, docs, and the multiframe regression test are green on main.
CI Green splat-web-viewer Node 24 toolchain plus live Pages demoTypecheck, lint, test, build, and Pages now present as a clean browser demo path.
CI Green video-gen-eval 28 passed, 1 skipped locally plus green CIThe adapter handoff path, score aggregation, and mypy gate are all clean.
CI Green cloud-inference-platform Router logic plus kernel path backed by green CITests, docs, lint, and typecheck now pass without the old dependency and typing traps.
Each case study starts from a creative or enterprise problem, then maps back to technical exploration in the supporting repos.
Give directors repeatable control over camera, motion, force, style, and continuity.
02Turn spatial assets into shared references before animation, previs, or generated video.
03Explain why generated clips pass or fail review with scorecards and plain-language rationale.
04Make creative AI workflows reliable enough for latency, cost, observability, and support needs.
Concept diagrams give a fast walkthrough of the workflow logic, and the placeholder media below reserve polished public surfaces without exposing raw production paths or pretending the approved visuals already exist.
The first public proof image for the film anchor, outreach screenshots, and film-proof story.
The clearest way to prove real post-production context without needing to publish motion first.
A fast recruiter-scan visual for GitHub, the landing page, and any short application surface.
The main public asset for portfolio sharing once one approved edit is ready to publish.
The showcase leads with workflow value, then lets the underlying repos show technical exploration across video, 3D, evaluation, and infrastructure.