Work organized by the business problem, not the stack.
Start with client proof first. Each card still shows the kind of work involved, from MVPs and launch sites to workflow automation and AI systems.
// Start Here
Client Work
The strongest proof for how I scope, build, and ship work for paying clients. Start here if you want the clearest signal of what it is like to hire me.
A searchable inventory system that turned an auto parts supplier's phone-heavy sales process into a 24/7 digital catalog.
Best fit: Local businesses with inventory or service questions trapped in repetitive phone, WhatsApp, or email workflows.
What changed
Customers can now search the catalog before calling, which turns vague stock questions into more qualified inquiries and frees staff from repeating the same availability checks all day. The business also gained a 24/7 way to surface inventory without relying on phone time alone.
Helped Genrupt move from a fragile AI media MVP to a subscription-ready Amazon creative ops platform that seller teams could pay for, trust, and keep expanding.
Best fit: Teams turning an early AI product into something customers can actually buy, trust, and use at scale.
What changed
Genrupt moved closer to a real commercial platform, with subscriptions, organization billing, and safer cost controls for paying seller teams.
A fake-door storefront used to test demand for a beauty brand before spending on inventory.
Best fit: Founders who need to test demand before investing in inventory, manufacturing, or a full build.
What changed
Instead of guessing, the founders got a low-risk signal on which products drew the strongest interest. The test also built an early launch list, which gave them proof of demand and a warmer audience before they spent on inventory.
Helped a live social events product become more reliable, easier to extend, and less dependent on constant senior intervention.
Best fit: Small product teams that need senior technical leadership and stronger foundations without pausing delivery.
What changed
The team ended up with a more reliable product, clearer patterns for new work, and junior developers who could ship with less hand-holding.
A portfolio site designed to make a high-end interior designer look as established online as he is in person.
Best fit: Independent professionals who need their online presence to justify higher-ticket work.
What changed
He now has a site that makes it easier to look credible, share work cleanly, and pitch larger interior design projects without relying on scattered social content.
A portfolio hub that made it easy for editors and publishers to review a comic artist's work and commission him.
Best fit: Artists and independent creatives who need a commission-ready portfolio, not another gallery buried in social media.
What changed
The site gives editors a clean way to review work, trust the professionalism, and reach out for commissions without asking for links or files first.
// Also Useful
Selected Product Experiments
Self-initiated products that show how I think through MVPs, workflows, and AI systems when I own the problem end to end. Useful for judgment and product taste, but separate from client delivery.
AI Systems
2025-2026AI-Powered Event Discovery for Buenos Aires
Selected Experiment · AI Product Build
Turned fragmented Buenos Aires event data into a live discovery product that helps people find plans through grounded AI search, not another dead-end chat demo.
Best fit: Teams exploring AI assistants, RAG search, or data-heavy discovery products that need grounded answers.
What changed
Launched a working event discovery product with 800+ events and 190+ venues pulled into one searchable experience instead of forcing users to jump between sources.
Turned a local language-learning idea into a working product for small-group practice, neighborhood discovery, and real-world coordination.
Best fit: Founders exploring local-community products, small-group marketplaces, or coordination-heavy MVPs.
What changed
Turned the idea into a working product with onboarding, group chat, neighborhood discovery, and cross-platform coordination.
AI Systems
2025AI Content Transformation Platform
Selected Experiment · AI Content Operations Build
Turned long-form transcripts into a reviewable content operations system, reducing the manual bottleneck between raw material and scheduled posts.
Best fit: Teams with transcript-heavy marketing workflows who want AI assistance without losing review control.
What changed
Turned a manual transcript-to-post workflow into a working system that extracts insights, drafts posts, and keeps a human in control before anything gets scheduled.