Independent AI and machine learning studio

NxtWave.ai

Practical AI, machine learning, and automation work for small to midsize companies that need useful software without enterprise bloat.

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Current focus AI + ML field-ready software

01 Machine learning prototypes that solve real workflow problems

02 AI-assisted dashboards, agents, and analysis tools

03 Modern web apps that can be launched, tested, and improved quickly

About me

Built from curiosity, creativity, and a bias toward useful systems.

NxtWave.ai is my independent AI and machine learning studio. I work with small to midsize companies to explore where AI can remove friction, reveal patterns, and turn scattered data into software people can actually use.

My background combines a retired military mindset for clarity, execution, and accountability with a long-running love of machine learning, creative problem solving, and building things that feel modern without losing their practical purpose.

ModeIndependent builder

FocusAI, ML, automation

AudienceSmall to midsize teams

Current projects

Early builds exploring AI-assisted analysis and operations workflows.

TelCo intelligence prototype

AI-assisted telecom activity analysis

A telecom analysis workflow using LLM-assisted querying, SQL databases, graph relationship modeling, and early PPO exploration. It turns thousands of rows of activity data into near-instant analyst-ready results.

Various LLMs SQL databases Graph neural networks PPO exploration Large-row analysis

Call metrics prototype

Operational dashboard and forecast walkthrough

A call-center forecasting tool using Gradient Boosting and Google Cloud services to reduce roughly two hours of daily manual work for one person, while improving staffing decisions with clearer demand and spike understanding.

Gradient Boosting Google Cloud services Call forecasting Spike detection Staffing optimization

ProjectDesk desktop workspace

User-friendly AI workspace for app and file work

A desktop-first AI workspace built to create apps, create and manipulate files, organize folders, run scheduled tasks, and keep reusable project memory. Private document workflows can mask sensitive details locally before AI review.

Electron desktop app Next.js web layer App creation File automation Private document masking Project memory

Robotics project

A small home robot built to pick up toys.

One current project is a small robot designed to find and pick up my dog's toys from around the house. The goal is practical: combine robotics, computer vision, and LLM planning into a useful home assistant that can recognize objects, decide what to collect, and move through a real room.

The build is planned around Lego robotics for the physical platform, a Raspberry Pi for onboard control, a YOLO-style computer vision model for toy detection, a Llama cloud model for higher-level task planning, and an older Mac acting as a local server for heavier coordination work.

Lego robotics Raspberry Pi YOLO computer vision LLM planning Llama cloud model Mac local server

Exploded view of the Lego robot build components. — Parts and electronics

Mid-build Lego robot with panels and arms partly assembled. — Assembly concept

Assembled yellow Lego robot on tracks. — Target form factor

Work in progress

This page will keep evolving as the project list grows.

Next steps can add final biography copy, better project descriptions, polished looping videos, contact routing, and case-study pages for each prototype.

Contact NxtWave.ai