Gary Beane
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Gary Beane

Builder. Scientist. Systems Thinker.

I turn complex data into clarity and impact.

Scientist-turned-technologist with a PhD in Materials Science, solving real-world problems through science, software, and AI.

Building now: Aani (AI content platform) • Sensor intelligence pipelines • High-performance scientific computing

See What I Build Work With Me

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Featured: Aani

Voice-to-Research-to-Content AI Platform (Beta Release)

Transforming how professionals create content from ideas. Speak your thoughts, Aani researches the topic, and delivers polished, research-backed documents.

Why it matters: Built end-to-end production AI system using agentic AI and LLMs. Not a proof-of-concept — a real product approaching beta release.

The privacy advantage: Your voice never leaves our servers. End-to-end military-grade encryption. Your data is yours to delete, always.

What it demonstrates: Can architect and ship complex ML products from concept to production.

Learn about Aani →

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What I Build

Production ML Systems & Data Pipelines

Sensor Intelligence • Built ML-driven analysis for medical device sensors (brain oxygen monitoring, biosensing). Turn noisy biological signals into actionable clinical data.

High-Performance Computing • Designed scientific computing systems 50x faster than alternatives. pytmat package used internationally — 42K+ downloads for materials science calculations.

Computer Vision • Deployed CV systems for image classification, semantic search, and segmentation. Production-ready applications with thousands of users.

The Common Thread: Take messy real-world data → Build robust pipelines → Deliver systems that work in production

See detailed case studies →

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Why I’m Different

From Aani (voice AI platform) to pytmat (42K+ downloads), I ship production systems that people actually use.

Not a specialist stuck in one area. Cross-domain thinker who connects physics, ML, and engineering.

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Why Businesses Hire Me

You need someone who ships working products.

I’ve spent 10+ years mastering how to extract insights from complex data — from nanoscale physics experiments to production AI platforms. Now I apply that rigor to building systems businesses can depend on.

What you get: Working software, not consulting reports • Production systems, not prototypes • Clear communication, not jargon • Privacy-first architecture, not data collection

Who I work with: Companies building ML products • Medical device firms needing sensor intelligence • Research teams commercializing technology • Businesses drowning in data but starving for insights

Track record: Aani AI platform (beta releasing) • pytmat (42K+ downloads internationally) • Medical sensor ML systems • Open-source contributor (shows I stay current)

Let’s discuss your project

Connect: LinkedIn • GitHub • Google Scholar