Currently available for new projects
I build AI products that ship.
New product from scratch or AI added to your existing SaaS — scoped before a line is written, shipped into production.
I take on a limited number of projects each quarter.
What I Build
The full build, start to finish.
AI MVPs
From validated idea to working software — built for real use, not throwaway prototypes.
LLM Integrations
Real AI capability in your existing product. Scoped, built, and maintainable.
Features & product work
New functionality, improved flows — solo or alongside your team, in your stack.
Intelligent Workflows
Systems that automate real work at scale. No second team to run them.
Internal tools
The tools your team uses every day — faster, smarter, less manual work.
Agents & pipelines
Multi-step AI, retrieval, background jobs — built for real traffic, not demos.
Who This Is For
The right fit.
Early AI startups
Vision is there; architecture and build path aren't. I lock decisions before they get expensive.
Founders on a deadline
Launch, demo, or raise — you pick the date. I cut scope to hit it.
Live SaaS adding AI
Ship AI that fits the product — not a bolt-on that breaks in six months.
Engineering teams at capacity
Stretched team, full backlog — I drop into the repo and ship without a long ramp-up.
Clear goal, real owner, genuine push to ship. I work best with clients who are ready to build — not still deciding if they should.
How I Work
No surprises. No hand-holding.
I work on builds that matter — where shipping the wrong thing would be expensive.
- Fixed-scope builds
- Deliverables, timeline, and exactly what done means — agreed before any code is written. No hourly billing. No scope creep. I'll tell you upfront how long your build takes.
- Your code, your IP
- Everything built is yours from day one — code, infrastructure, access. Nothing withheld, nothing locked to me.
- One person, fully accountable
- You work with me directly. Weekly updates, a working demo at key milestones. One person who knows every line of the build.
- No single point of failure
- All code is documented and fully handed over — nothing about the build depends on me being around.
- Starting is simple
- Send me a message with what you're building. No spec doc needed. First conversation is just scoping — no commitment, no pressure.
Case Study
EasyClaw: 12 hours → ~1,000 users
12h
to ship first version
~1,000
users acquired
Paying
active subscribers, growing
Build
Managed runtime: subscribe, connect Telegram, pick your model (Claude, GPT, or Gemini), and your agent is live in under a minute. Node.js, Docker isolation per user, multi-LLM routing, Stripe billing. Built and deployed solo in 12 hours.
Result
~1,000 users. Growing MRR. Acquired through Reddit — organic posts, no paid ads, no agency.
I build real AI products fast — from infrastructure to distribution.
Start a project →Client work
Akave — DataDrop backend
Built the full backend — APIs, file uploads, Stripe payments, and access control. DataDrop launched on schedule and is serving paying customers in production.
"Héctor built the core backend for DataDrop — uploads, payments, access control — production-ready from day one. He worked independently and just delivered."
DeStor — Platform development
Led development across the stack — backend services, APIs, and frontend features tied to storage workflows and integrations. Features shipped into the live platform without regression or disruption to existing users.
SEAD.ai — Platform automation
Built the operational layer — backend logic and integrations connecting the workflows that run the platform day-to-day. The automation went into production and became part of how the platform actually runs.
What People Say
"Héctor consistently delivered well-architected solutions across multiple stacks. The kind of engineer you want when things need to actually ship."
"Héctor built the systems that actually run the platform — real automation, not a prototype. He understood the business, not just the code."
"Versatile across the full stack and consistent on delivery. Communicates clearly and keeps things moving."
Worked with teams at: Protocol Labs · Akave · SEAD.ai · AdhocWorks · DeStor
FAQ
- How do you scope a project?
- We talk through what needs to be built and what done looks like. I turn that into a fixed-scope proposal with deliverables and a timeline — before any code starts.
- What does a typical project look like?
- Discovery → architecture → build → ship. Most projects run 6–8 weeks. You see real progress weekly, not status updates.
- Do you work with non-technical founders?
- Yes. Most clients aren't engineers. I handle all technical decisions and explain what matters without the noise.
- Do you sign NDAs?
- Yes, standard.
- What do you need to get started?
- A clear problem and a decision-maker. No spec doc needed — we build that together in the first week.
Let's build something.
Tell me what you're building. I'll scope it and tell you honestly if I can help.
I reply within 24 hours.
I'm selective about what I take on — if it's not the right fit, I'll tell you.
What you're building and what needs to happen. That's enough.
No spec needed. No deck. Just a short description.