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🌓 Building systems that balance creativity, reliability, data quality, and human-centered AI.
I'm a systems-minded developer, analytics builder, and research-curious technologist with a B.S. in Information Technology and 8+ years of experience building measurable systems across Roblox / UGC platforms.
My work sits at the intersection of:
- Product + Growth analytics
- Gameplay / LiveOps telemetry
- Local-first AI workflow automation
- Cloud-aware systems tooling
- Human-centered computing
- Biofeedback / neurofeedback research curiosity
I build projects that connect software systems, user behavior, data quality, and decision-making — from live game telemetry and onboarding funnels to local-first AI workflows that help preserve focus, reduce context loss, and make developer activity more reviewable.
I am especially interested in:
- 🧠 AI-augmented workflows for focus, context hygiene, and neurodivergent-aware productivity support
- 📊 Product / growth analytics across onboarding, retention, economy, acquisition, and LiveOps loops
- ⚙️ Systems reliability through clean APIs, state handling, workflow automation, and validation-first tooling
- 🧬 Emerging research areas like biofeedback, neurotechnology, cognitive science, longevity research, and human-centered AI
I am highly research-curious, focusing on the intersection of human physiology, artificial intelligence, and systems resilience. My goal is to build environments that reduce friction, support neurodivergent profiles, and elevate human output.
Status: I am currently building Deving Gene as my primary focus while actively seeking full-time roles across Data Analytics, Systems Engineering, and AI Platform integration.
- Physiological Telemetry & Biofeedback: I am actively researching how to integrate real-time EEG and EKG data streams to monitor cognitive load and flow states. I am particularly interested in the application of devices like the Polar H10, Muse S Athena, BrainAccess HALO, and other upcoming devices to create adaptive, local-first environments that provide metacognitive scaffolding.
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A consent-first workflow system designed to support neurodivergent focus. It combines Python/FastAPI services, local dashboards, and AWS/Alexa IoT integration. Built to utilize LLMs to sanitize SSML and leverage RAG for dynamic understanding of user states and flow preservation. Stack: Python, JavaScript, Alexa, GitHub Actions View Repository ➔ |
Self-started UGC experience powered by a fully custom engine written in Luau from scratch. Engineered with end-to-end telemetry instrumented across onboarding, economy, retention, acquisition, and gameplay telemetry. Signals: 389% performance increase, 84% FTUE completion, 13.5m play-time Play / View ➔ |
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Bounded telemetry warehouse pipeline modeling hero stability, volatility, watchlists, and returning-player proxies for stakeholder-ready LiveOps review. Stack: Python, Snowflake, dbt, Tableau-ready exports View Repository ➔ |
Local-first biosignal analytics workflow focused on window coverage checks, pipeline validation, curated tables, and cautious non-diagnostic review. Stack: PhysioNet, DuckDB, dbt, Streamlit View Repository ➔ |
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Last auto-updated: May 1, 2026 · 10:34 AM EDT / 14:34 UTC · Next scheduled update: May 2, 2026 · 9:23 AM EDT / 13:23 UTC