001SaaS · Live
Kuvlo
From first call to final invoice — simplified. Job management, client tracking, and invoicing built for solo contractors.
Open to collaborate
Reliable code.
Practical AI.
Foundational programming meets modern AI. Leveraging deep systems logic to build tools that are architecturally sound and functionally superior.
logic→useful
systems first
human in loop
less hype :)
BASED IN SOMERSET, KY
BUILDING FOR THE REAL WORLD
01 / Selected work
Things that
actually do things.
Tools shaped by real problems, practical constraints, and a healthy dislike of unnecessary complexity.
002Real-time
ReadBefore
The fine print in plain English. A private document workspace that helps everyday people understand contracts, legal documents, policies, and more.
003Real-time
Weather App
High-accuracy dashboard pulling live data. A clean, no-nonsense interface built for speed.
004Predictive · In development
Mira AI
Identifying risk behaviors in real-time. A predictive monitoring concept built on structural logic.
005Python / AI · In development
Strat-X
Analyzing cardiac rhythm data to reduce false alarms. Applying systems logic to pattern matching.
02 / Building in public
Ideas under
construction.
Early-stage case studies about the questions, constraints, and responsible design decisions shaping two predictive systems.
CASE 01
In development
Predictive monitoring
Mira AI
How might a system surface meaningful changes in behavior without replacing human judgment?
The problem
Important behavioral changes can be subtle, gradual, and difficult to recognize in real time. Mira explores how structured signals could help people notice developing risk sooner.
The approach
Build from interpretable rules and trend detection first, then evaluate where carefully constrained AI can add useful context. Every signal should be explainable to the person reviewing it.
Current focus
Defining useful inputs, separating meaningful changes from ordinary variation, and designing alerts that communicate uncertainty instead of overstating certainty.
Responsible by design
Human review stays central. Privacy, consent, transparent reasoning, and conservative alerting are product requirements—not features to add later.
CASE 02
In development
Cardiac signal intelligence
Strat‑X
How can monitoring software reduce noise while keeping clinically meaningful events visible?
The problem
High alarm volume can make the events that matter harder to distinguish. Strat‑X investigates ways to organize rhythm information and reduce avoidable noise without hiding uncertainty.
The approach
Combine explicit rhythm logic, temporal pattern analysis, and human review. The system is being designed to support a reviewer’s attention—not issue autonomous clinical decisions.
Current focus
Establishing repeatable signal-processing rules, testing false-positive reduction concepts, and creating an interface that makes the reason behind every flag easy to inspect.
Safety boundary
Strat‑X is an exploratory software project in development. It is not a medical device, has not been clinically validated, and is not intended for diagnosis or patient care.
03 / Capabilities
A practical
toolbox.
Development
Python & JS · HTML & CSS · Git & GitHub · VS Code
⌘Applied AI
Prompt Eng. · NLP Basics · LLM Apps · Rule Logic
✦IT Systems
Linux & Windows · Hardware · SysAdmin · Infrastructure
◎Methodology
Human-in-Loop · Accuracy First · Alarm Safety · Logic Design
↳04 / Contact
Have a useful
problem to solve?
I’m based in Somerset, Kentucky and open to collaborating on practical software and AI work.
brentvsmaximvs@gmail.com ↗ 606-416-7725