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Ben Flanders
Abstract background art. Colors are primarily blue, dark gray, and white.

Atlanta, GA

Ben Flanders

Machine learning engineer and product-minded builder — AI agents, realtime multi-agent chat, and low-latency systems that stay sharp under load.

Benrflanders@gmail.com

Empowering your digital vision with expert web development and machine learning.

Selected Work

Things Ben Has Built

Agents, platforms, and research spanning ML, APIs, and the web.

ADP Multi-Agent System

AI Agent Developer · ADP

Multi-agent chat and orchestration for complex workflows, with a focus on responsive realtime UX and dependable quality under low-latency pressure.

Agent architecture, prompt and context engineering, and production hardening alongside cross-functional partners.

  • Python
  • Strands (AI)
  • LangChain
  • AWS (SQS, S3)
  • Docker

SkiNNer

Artimatic

Former Co-Founder · Artimatic Technologies, Inc.

Developed and trained the neural network that powers SkiNNer, an automated weight painting solution for Autodesk Maya.

Artimatic's approach significantly reduces time and effort for weight painting. Ben contributed to a published paper on the technical work.

  • Python
  • TensorFlow & Keras
  • AWS (SageMaker, EC2, S3)
  • Docker

Artimatic API

Artimatic

Former Co-Founder · Artimatic Technologies, Inc.

As lead developer, Ben designed and built the API that backs all Artimatic product deliveries.

RESTful design, solid database work, and ongoing improvements for customer needs.

  • Python
  • Django REST Framework
  • AWS

Artimatic Web App

Artimatic

Former Co-Founder · Artimatic Technologies, Inc.

Co-developed the customer-facing app: API UI, Stripe payments, SkiNNer install flow, and geNNie (AI texture tooling).

  • React
  • JavaScript
  • AWS (Amplify, S3, EC2, …)

Freelance Projects

Freelance Software Developer

Diverse client work via Wayfinder Data Solutions, LLC — including an internal construction planner and data tracker with real-time reporting, camera integrations, and Scrum-style delivery.

  • JavaScript
  • Next.js
  • AWS (S3, EC2, Amplify)

M.S. AI Thesis: Bird Audio Classification

M.S. Artificial Intelligence · UGA

Worked with the National Park Service on automated bird song classification — bird populations as habitat health indicators.

  • NumPy
  • Scikit-Learn
  • SciPy (signals)

NPS SECN — Estuarine Water Quality

Database Technician · U.S. National Park Service

Schema design, apps for scientists, and SOPs for data workflows and field procedures.

  • Transact-SQL
  • Visual Basic

NPS SECN — Wildlife Data

Database Technician · U.S. National Park Service

Database applications for Wildlife and Water Quality SECN teams during M.S. studies.

  • Transact-SQL
  • Visual Basic

This Portfolio Site

Open Source

This site is open source — layout, content, and deploy pipeline live in the repo.

  • Next.js
  • Tailwind CSS
  • TypeScript

“The best way to predict the future is to invent it.” — Alan Kay

About

Background

Ben is an Atlanta-based engineer focused on production AI agents, multi-agent chat, and low-latency conversational quality— shipping systems that stay sharp when users move fast.

He is an AI Agent Developer at ADP (full-time, since September 2025), building multi-agent chat and production agent systems with a bias toward low-latency, high-quality realtime UX. He also held an engineering role at StreamIt with closely related goals: realtime chat agents, responsiveness, and keeping answers strong under rapid back-and-forth.

He co-founded Artimatic Technologies, Inc. and is no longer in an operating role there. Earlier, he was a software developer for the U.S. National Park Service South East Coast Network in Athens, GA. Details on Artimatic products, freelance work, and NPS data tooling live in the Work section above.

Ben earned a B.S. in Computer Science and a B.A. in Cognitive Science from the University of Georgia in 2019, and an M.S. in Artificial Intelligence from UGA in 2021. During the M.S., he built database applications for NPS Wildlife and Water Quality SECN teams. He is a UGA fan—Go Dawgs. Off the clock, he enjoys exploring with his dogs.

He cares about architecture, planning, and turning ideas into shipped software. Deep strengths include Python, SQL, AWS, and agent stacks (Strands, LangChain), alongside the web and API layers that surround them.

“If I have seen further, it is by standing on the shoulders of giants.” — Sir Isaac Newton

Publications & Links

Papers, Patents & Posts

Research output, IP, and occasional writing elsewhere on the web.

Papers & Patents

Patent: Automated Weighting Generation for Three-Dimensional Models

Developed and patented a novel process that creates and adjusts model weightings matrices, applies a machine learning model, and generates an accurate output weighting.

UGA Thesis

With support from the U.S. National Park Service and the University of Georgia School of Artificial Intelligence, Ben authored a thesis on automated bird collection audio data.

SkiNNer Paper

A paper describing Artimatic's flagship product, SkiNNer. Original publication was 2021; the paper is not yet on the publisher's site.

Coming soon

Articles

Ben's Take on Stripe

Why Stripe has become a favorite payment tool and why it's valuable for developers.

Elsewhere