I’m guessing it might be able to replace maybe 40-70% of LLM calls for a given pipeline depending on the business task, cutting the API costs on those calls by an order of magnitude.

So now I’m curious if our two applications use the same approach under the hood! I have a detailed tech stack rundown on this page: https://own-voice-dev.netlify.app/#/info but in brief I use OpenVoice v2 to convert someone’s voice toward a differently-gendered reference voice, but leave it at only like 30%-60% transformed so it still sounds like them and not the reference. This transformed voice then becomes a practice reference for drilling.

Remote: Yes, preferred. Open to hybrid in SF Bay Area.

Willing to relocate: No

Technologies: Gen AI (both user and engineering side), TypeScript, React, Python, SQL, Rust, cloud infrastructure, video and audio engineering

Résumé/CV: https://linkedin.com/in/madisonrickert

Email: m [at] madisonrickert [dot] com

Open to: Senior SWE, FDE, Solutions Engineer, Senior Backend Engineer.

Domain verticals: AI, video/film tech, audio/music tech, financial tools, realtime software (games, rich interactive UX), business process automation.

Open Source: https://github.com/madisonrickert

Hi, I'm Madison Rickert, a senior software engineer who has been shipping code to production for over 20 years. Experienced engineering leader, presently all-in on agentic engineering, shipping code daily and finding new ways to push the envelope on its capabilities.

I'm an active contributor to several open-source MCP servers, build agent-first CLI tools, solve computer vision problems, and maintain a growing library of agent skills and agent harnesses I rely on daily. For the past five-plus years I've been a partner and the in-house technical force at a creative studio. Before that, I was a senior IC and fractional engineering lead for a variety of startups and nonprofits, working across the full stack and mentoring teams of up to 5. I have a penchant for both business and personal finance. Across my businesses and clients, I've been responsible for managing organizational finances and countless projects with typical budgets in the 5 to 6 figure range. Over the years this led me into financial automation, and I have several open-source projects in my portfolio in areas around agentic financial automation and investment management. I'm also a working musician, and a hyper-organized Burning Man camp lead, best known around the Northern California festival scene for my saxophone performances for crowds up to 3,000 people.

I'm pivoting back to senior IC engineering after a long stretch as partner-operator. I'm excited to keep expanding the capabilities of AI, and my creative-tech and financial background will be a real asset to the right organization. If you're building software for creative work, media systems, music tech, financial tools, or AI tooling, I'd love to hear about it.

My initial take on its strengths/weaknesses:

- Strong: Using the TS/JS ecosystem to render UI and tools

- Medium: Creating custom application windows in a web view. Window management features are pretty limited currently (can’t resize or render a native “close” button on the window chrome)

- Strong: Creating custom control panels for integrating with external services (like pushing and pulling audio clips or midi to/from an external service)

- Weak: Anything real-time, that’s still the domain of Max4Live or other control APIs, so don’t expect playback automation

- Medium: Tinkering with the Ableton project, clips, tracks, etc. API surface is still incomplete. Like I can read warp markers but not create them, for example. And I can’t access the global time signature settings.

The extensions are pretty aggressively sandboxed, and I appreciate that security consciousness in this season of the js ecosystem. It’s a hassle though if you want to save or load files outside of your little sandbox folder.

Remote: Yes, preferred. Open to hybrid in SF Bay Area.

Willing to relocate: No

Technologies: Gen AI (both user and engineering side), TypeScript, React, Python, SQL, Rust, cloud infrastructure, video and audio engineering

Résumé/CV: https://linkedin.com/in/madisonrickert

Email: m [at] madisonrickert [dot] com

Open to: Senior SWE, FDE, Solutions Engineer, Senior Backend Engineer.

Domain verticals: AI, video/film tech, audio/music tech, financial tools, realtime software (games, rich interactive UX), business process automation.

Open Source: https://github.com/madisonrickert

Hi, I'm Madison Rickert, a senior software engineer who has been shipping code to production for over 20 years. Experienced engineering leader, presently all-in on agentic engineering, shipping code daily and finding new ways to push the envelope on its capabilities.

I'm an active contributor to several open-source MCP servers, build agent-first CLI tools, solve computer vision problems, and maintain a growing library of agent skills and agent harnesses I rely on daily.

For the past five-plus years I've been a partner and the in-house technical force at a creative studio. Before that, I was a senior IC and fractional engineering lead for a variety of startups and nonprofits, working across the full stack and mentoring teams of up to 5.

I have a penchant for both business and personal finance. Across my businesses and clients, I've been responsible for managing organizational finances and countless projects with typical budgets in the 5 to 6 figure range. Over the years this led me into financial automation, and I have several open-source projects in my portfolio in areas around agentic financial automation and investment management.

I'm also a working musician, and a hyper-organized Burning Man camp lead, best known around the Northern California festival scene for my saxophone performances for crowds up to 3,000 people.

I'm pivoting back to senior IC engineering after a long stretch as partner-operator. I'm excited to keep expanding the capabilities of AI, and my creative-tech and financial background will be a real asset to the right organization. If you're building software for creative work, media systems, music tech, financial tools, or AI tooling, I'd love to hear about it.

The class of human errors I’m encountering most often are ones caused by missing context: misfiling of transactions because my bookkeeper didn’t recognize a vendor, didn’t know a transaction needed to be attached to a specific project or client, lacked access to my calendar, didn’t have my login to pull receipts, didn’t have time to understand a spreadsheet. Claude has ready access to all of these has been remarkably adept at synthesizing that to help it come at accounting tasks with a level of detailed-oriented obsessiveness that no human I’ve ever hired has shown.

Sadly, the writing is on the wall for my trusty Hackintosh since they recently decided to drop support for AMD GPU acceleration on macOS.

It isn't my only source of income, but I've been diligent about growing it as a business and am starting to see some payoff.

I primarily work in Ableton Live. It's not only the most inspiring DAW that I know, but it is a fantastic performance tool as well.

We could conclude that a lot of people are self-medicating without realizing it.

[1](https://www.theguardian.com/uk/2009/dec/27/adhd-prisons-ment...) [2](https://adultaddstrengths.com/2011/01/12/adhd-and-crime-igno...)

Never did find any kind of label for the symptoms. I kept a journal of the episodes for a while. They seemed to come up monthly when I was around 16.

At the very least it's validating to encounter others who had had similar experiences.