Tools & Workflow

A control room for post workflows.

I design production systems for the parts of post that are repetitive, technically fragile, and difficult to scale. The work spans A/V and dialogue deliverables, graphics versioning, metadata, reconform, captions, quality control, and Adobe-integrated workflows.

Systems Portfolio

Built for the work that fails quietly.

These systems turn production requirements into repeatable workflows. They reduce manual setup, surface exceptions early, and leave editorial and design approval with people.

07: Workflow systems
04: Flagship pipelines
Offline: Processing posture
Human: Final approval

Flagship Systems

Operating models, not isolated scripts.

Each system has defined inputs, clear decision points, and reviewable outputs.

Flagship System

A/V Deliverables Pipeline

Working MVP

An offline pipeline that turns tracked source packages into technically validated deliverables.

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Environment: Apple Silicon / CLI
Inputs: Source media, manifests, delivery profiles
Outputs: Version builds, QC evidence, review packages

Intake
Recon
Build
QC
Gate

System Capabilities

Validates source roles, naming, file integrity, and delivery assumptions
Checks geometry, duration, codec, loudness, black, silence, and frame coverage
Produces evidence-backed status instead of allowing incomplete work to appear finished

Problem

A single trailer can multiply into dozens of deliverables across aspect ratios, platforms, audio layouts, captions, and naming rules. Manual handoffs make it easy for source assumptions, small technical errors, or incomplete versions to travel all the way to delivery.

Operating Model

I designed and built a fully offline system that moves a tracked intake through five explicit stations. It verifies source roles and file integrity, applies a structured deliverable registry, coordinates version builds and finishing assets, and binds every decision to reviewable evidence.

Production Value

The working MVP turns a fragile chain of repetitive tasks into a repeatable operating model. Every station passes, blocks honestly, or fails with a clear reason, while editorial and design approval remain with people.

Flagship System

Graphics Versioning & QA System

Working system

A measured versioning and validation system for high-volume campaign graphics.

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Environment: After Effects / Offline
Inputs: Approved masters, ratio targets, delivery requirements
Outputs: Alternate ratios, variants, review documents

Master
Adapt
Variant
Validate
Review

System Capabilities

Creates measured starting points for alternate aspect ratios
Generates coordinated textless, overlay, and delivery variants
Compares resized outputs with approved sources before review

Problem

Campaign graphics multiply across aspect ratios, delivery variants, UHD masters, and review documents. Rebuilding every version by hand is slow, repetitive, and vulnerable to small mistakes that can compromise an entire delivery package.

Operating Model

I built a fully offline After Effects system that creates measured starting points for alternate ratios, generates complementary textless and overlay variants, assembles review documents, and validates resized outputs against their approved sources.

Production Value

The system reduces mechanical setup and repetitive QA, catches discrepancies earlier, and gives motion designers more time for composition, judgment, and finish.

Flagship System

Data-Driven After Effects Generator

Working system

A batch workflow that turns structured campaign data into reviewable graphics.

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Environment: After Effects / Spreadsheet
Inputs: Validated rows, live templates, controlled assets
Outputs: Horizontal and vertical comps, still or motion renders

Request
Validate
Generate
Render
Review

System Capabilities

Validates incoming values against the live template before generation
Creates coordinated horizontal and vertical compositions
Selects the correct still or motion path while protecting existing work

Problem

Template-based title graphics often require dozens of nearly identical compositions, with copy, dates, formats, badges, and controlled settings changing from one asset to the next. Manual duplication creates avoidable copy-and-paste errors.

Operating Model

I built a fully offline, spreadsheet-driven After Effects workflow that treats each row as a graphics request, validates its values against the live template, generates horizontal and vertical compositions, and selects the correct still or motion render path without overwriting existing work.

Production Value

The result is a batch-ready production path with faster turnaround, more consistent template use, fewer manual errors, and outputs that remain visible and reviewable before delivery.

Flagship System

Dialogue List Generator

Working system

An offline system that connects the trailer timeline, audible speech, subtitle text, and speaker evidence.

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Environment: Desktop UI / Offline ASR
Inputs: XML, SDH subtitles, dialogue stem
Outputs: Filled XLSX, provenance and review report

Timeline
Transcribe
Align
Attribute
Report

System Capabilities

Builds dialogue-list rows directly from trailer audio edit events and source timecode
Uses burst-level local transcription to preserve trailer timing across silence
Records speaker source, text similarity, unresolved words, and review flags for every row

Problem

Trailer dialogue lists require more than transcription. Each audible edit event must be tied to record and source timecode, checked against the movie’s verbatim text, assigned to the correct speaker, and delivered in a studio spreadsheet. Doing that row by row is slow, and weak assumptions can become authoritative-looking metadata.

Operating Model

I built a self-contained Apple Silicon application that reconstructs dialogue events from an FCP7 XML, transcribes a dialogue stem locally in measured speech bursts, aligns the heard words to edit rows and source-windowed SDH cues, and assigns speakers only when the subtitles or related evidence support the decision.

Production Value

The system generates the filled dialogue-list workbook and a per-row provenance report in one pass. Unknown speakers remain blank and flagged rather than guessed, giving the operator a faster starting point and a precise review queue instead of a false sense of completion.

Workflow Utilities

Focused tools for recurring production friction.

Smaller in scope, but built around the same idea: clear inputs, useful outputs, and an obvious handoff to review.

05 Production-ready

Cue Sheet Workflow System

A metadata-driven workflow for translating timeline audio usage into a consistent cue-sheet deliverable.

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Environment: Premiere XML / Python
Input: Timeline XML, music reference database
Output: Formatted cue sheet for review

Production valueLess manual cue-sheet labor, better consistency, and a faster path through a painful delivery step.

06 Working prototype

Media Reconform Tool

A practical bridge for restoring source relationships when Avid-originated sequences move into Premiere.

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Environment: Avid / Premiere / Python
Input: AAF, source-path XML, media references
Output: Premiere-ready XML, exception report

Production valueA faster, more reliable reconform path with Premiere-ready XML output and a clear report for anything that still needs review.

07 Working utility

Caption Converter

A focused conversion utility for preparing subtitle deliverables without an unnecessary application round-trip.

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Environment: Offline conversion
Input: SRT subtitle files
Output: ITT caption files

Production valueA lightweight caption tool that makes subtitle encoding easier when the workflow needs to stay fast and self-contained.

AI Fluency

AI is useful when it helps the work.

I use AI when it can save time, help me test an idea, or take repetitive work off the team. That can mean research, prototyping, transcription, validation, or integrations with After Effects and Premiere.

I’m not interested in adding it just to say it’s there. If it doesn’t make the process clearer, faster, or more reliable, it probably doesn’t belong.

I work between editorial, operations, and technical development. I turn production problems into working systems, test them against real media workflows, and keep human review wherever creative judgment matters.

Private Workflow Review

The public work is the surface. The operating logic goes deeper.

The public case studies are intentionally sanitized. I can walk through the architecture, decision model, and production value of these systems in a private conversation without exposing confidential workflows or unreleased work.

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