Robert Clark

Built a local-first PhysioNet workflow (Wearable Exam Stress v1.0.0) bounded to 6 subjects, 2 exam sessions, and 96 selected artifacts. Normalized raw files into curated DuckDB tables using dbt. Published 96 subject-session-channel summaries with 99.5%–99.9% window coverage and explicit interpretation guardrails via a Streamlit review surface.

Created a matched-hour GH Archive operational workflow across 16 bounded hourly files (8 current, 8 baseline). Modeled parse health, schema drift, event-type shifts, and repository concentration using Python and DuckDB to help engineering leaders separate actual platform behavior changes from pipeline noise.

Developed a bounded Wikimedia analytics pipeline covering 39 requests, 12 tracked developer-tool entities, and 3 recency windows. Modeled growth, decline, and volatility KPIs in DuckDB/dbt to classify durable growth and spike patterns-highlighting shifts like Anthropic (+178,048.51%) and baseline comparisons for strategic decision-making.

Engineered a bounded telemetry workflow loading reproducible Snowflake raw layers and dbt marts from OpenDota data. Published validated, stakeholder-ready Tableau exports covering 400 matches, 3,910 player rows, 1,074 accounts, 127 heroes, and 12 leagues to analyze hero-stability and LiveOps volatility.

Built a local-first, consent-first workflow system for neurodivergent developers, integrating an Alexa Skill with a Python/FastAPI PC client, assistant UI, dashboards, and a VS Code extension to reduce context loss and improve consistency. Implemented schedule/status sync, session storage, idle/app-switch monitoring, site blocking, pending-op workflows, voice features, and LLM powered capabilities

Solely designed and launched an open-beta "video-edit" style PvP Roblox experience, building gameplay systems, onboarding/shop flow, round/enemy/tutorial logic, performant UI/UX, and camera FX. Improved week-over-week engagement to 6.9m average playtime (+107%), 5.2m average sessions (+54%), and 11.4m returning-user sessions (+111%), with modular components for iterative updates.

Designed and deployed robust persistent data solutions for the "Sneaker Square" ecosystem, ensuring zero data-loss and strict ACID compliance for a concurrent user base generating over 357,900+ verified engagements and maintaining high stakeholder retention (2,650+ retained bookmarks).

Engineered optimized data extraction and state-synchronization modules for "The Roblox Mall," successfully scaling the backend architecture to support 44,200+ unique user interactions without performance degradation or memory limit exhaustion.

Authored a reusable Luau OOP core from scratch, including metatable-based inheritance and DRY client/server boundaries, to support multiple personal Roblox projects. Built proxy-based mutation/state synchronization modules and cross-server matchmaking using MemoryStoreService and TeleportService. Completed comissions for many clients across various platforms online

Developed Studio tools and workflow plugins, including an RTFact generator to convert Roblox Studio GUI elements into compiled Luau-compatible element scripts. Built RTFusion conversion tooling to generate Rojo structure from .rbxl content and created a React-based explorer with VS Code-style workflows for large-project exports and refactor support.

Grade: 3.7

B.S. in Information Technology completed via an online program. Conferred Feb 2026 after attending from Dec 2021 to Dec 2025.

Attended Toledo Technology Academy STEM magnet school from 2015-2016.