Alejandro Sanabria

About

Alejandro Sanabria is a Forward Deployed Engineer at Wonderful.ai and a mobile platform leader with deep iOS and Android experience.

His core chapter is mobile: 8+ years building products and platforms at Platzi, growing from one of the first mobile engineers into leading mobile engineering across iOS and Android.

Earlier, he spent nearly five years co-founding and leading engineering for client-facing B2B products at Brand Spa. That full-stack foundation now supports the same product-engineering lens he brings to FDE work: customer problems, architecture, delivery systems, code quality, practical AI workflows, and fast mobile execution when the product needs it.

Known For

Current role

Forward Deployed Engineer at Wonderful.ai, working close to customers, product needs, AI systems, and implementation.

Mobile platforms

Grew from one of Platzi's first mobile engineers into leading iOS and Android platform work across native Swift, Kotlin, and React Native systems.

iOS systems

Builds AI-assisted iOS architecture workflows, App Store automation, simulator screenshot tooling, and repeatable delivery systems.

Cifro

Built and published Cifro, a private-by-design iOS finance app using SwiftUI and Apple Foundation Models for on-device AI.

Brand Spa

Co-founded a digital agency and led full-stack engineering for B2B client products, from architecture to production delivery.

Baubap

Short engineering management chapter getting a first iOS version moving quickly under product and delivery constraints.

The Arc

My longest and deepest chapter was at Platzi, where each phase taught me something different about how mobile software gets built at product scale.

Joined as the second mobile engineer. Small team, big product, everything to figure out. That's where I learned Swift and SwiftUI deeply — and where I learned that quality isn't the opposite of speed; it's what makes speed sustainable.

Then the platform outgrew its stack. I was part of the team that migrated from React Native to fully native apps — Swift on iOS, Kotlin on Android. Working across all three paradigms taught me what each approach actually costs and where each one breaks.

The migration wasn't about picking a side. It was about understanding the trade-offs deeply enough to make the right call for the product.

Leadership came next. Not away from engineering — deeper into it. Helped scale the mobile platform across both iOS and Android, and pushed to turn technical debt reduction from a wish list into a discipline.

A shorter Baubap chapter reinforced the same pattern from an engineering management seat: align product, platform, and delivery quickly enough to get a first iOS version moving in a compressed timeline.

Before mobile, I co-founded Brand Spa, a digital agency where I led engineering and built full-stack products for B2B clients. That chapter made product constraints concrete: clients needed quoting systems, CMS platforms, e-commerce flows, website builders, and internal tools that worked in production.

Now I'm a Forward Deployed Engineer at Wonderful.ai, bringing the same mobile/product builder mindset closer to customers, product context, AI systems, and implementation.

How I Lead

The two sides aren't separate. The best technical decisions come from understanding the team, the product, and the business context — and the best teams are built around a clear technical vision that compounds product outcomes.

Technical Side

  • Helped design streaming and dynamic content architectures at scale
  • Contributed to internal libraries shared across the mobile platform
  • Helped define standards that keep both iOS and Android codebases healthy
  • Shipped on-device AI features with Apple Foundation Models alongside my team
  • The mobile team I helped build was recognized by Apple as an innovation example for Platzi
  • Architectural judgment across React Native, Swift, and Kotlin — not locked to one platform
  • Built full-stack B2B products from architecture decisions to production delivery
  • Managed a fast first-version iOS delivery at Baubap as an engineering manager
  • Created practical AI-assisted workflows for planning, review, validation, screenshots, and release operations

People Side

  • Helped scale and structure mobile teams across iOS and Android
  • Mentored engineers through career transitions with high standards
  • Shaped a review culture with the team where quality is the norm, not the exception
  • Aligned clients, product stakeholders, designers, and engineers around concrete delivery decisions

Android scope: I've led it directly — shared architecture decisions, critical unblocking, and unified execution standards. iOS and Android move best as one team, not two silos.

What I'm Building Now

I'm applying AI to the parts of engineering where context, review, and repetition usually slow teams down.

The work is practical: tools and workflows I use to plan, build, verify, package, and release real software.

FDE work Working close to customer workflows, product needs, AI systems, and implementation
Architecture workflows Breaking down ambiguous work into implementation plans and trade-offs
Review loops Using AI to preserve context, check assumptions, and verify output
Delivery tooling Automating screenshots, App Store work, and release steps
Product systems Building apps like Cifro where AI supports useful product behavior

The goal is not AI for its own sake. The goal is better engineering judgment, faster feedback, and working systems.

Selected Work

Platzi Mobile Platform

mobile platform leadership

8+ year mobile chapter growing from one of Platzi's first mobile engineers into leading iOS and Android platform work. Helped move the platform from React Native to native Swift and Kotlin, scale shared standards, and build the team behind Apple-recognized Foundation Models and Liquid Glass work.

iOS Android Swift Kotlin React Native

iOS Workflow Systems

workflow tooling

Reusable workflow patterns for iOS architecture, implementation planning, code review, validation, App Store operations, and screenshot generation. The focus is not prompt tricks — it's encoding practical engineering judgment into repeatable systems.

Claude Code OpenClaw Skills AI workflows
ios-architect-skill

Cifro

finance app

A published private-by-design iOS finance app built with SwiftUI and Apple Foundation Models. Cifro uses on-device AI for transaction parsing, budget bucket suggestions, daily insights, and a review ritual — no accounts, no cloud, no data sharing.

SwiftUI Foundation Models On-device AI Finance
View on App Store

Release & Screenshot Automation

iOS automation

Command-line tooling that supports the mobile delivery workflow: App Store Connect metadata and build upload automation, plus deterministic iOS simulator screenshot capture for App Store assets, regression checks, and CI pipelines.

TypeScript App Store Connect Simulator Automation
appstore-tools screenshots-ios

Brand Spa

co-founder · full-stack engineering

Co-founded and led the engineering side of a digital agency for nearly five years, serving as the principal engineer across client projects. Built custom web solutions from architecture to production using PHP, Laravel, Ruby on Rails, WordPress, React, and Node.js.

B2B Products Full-Stack React Laravel Rails

Baubap iOS First Version

short engineering management chapter

A short engineering management chapter focused on getting Baubap's first iOS version moving quickly: aligning product, mobile architecture, delivery constraints, and team execution around a compressed timeline.

iOS Engineering Management Delivery Product Alignment

Wonderful.ai

forward deployed engineering

Current Forward Deployed Engineer role at the intersection of customer workflows, product constraints, AI systems, and implementation. This is the current role and direction.

FDE AI Workflows Customer Context Implementation
Wonderful.ai

What I Believe

  • Quality is a multiplier, not a tax. Investing in architecture pays back in velocity every sprint.
  • Lead from the code, not above it. An EM who can't evaluate a technical trade-off is managing blind.
  • AI becomes useful when it lands inside a workflow. The hard part is connecting model behavior to a real job, team, and outcome.
  • AI should augment judgment, not replace it. The goal is better engineering, not just faster output.

Tech

Swift SwiftUI iOS Kotlin Android React Native TypeScript React Node.js Laravel Ruby on Rails Tuist GRDB Claude Code OpenClaw Foundation Models Forward Deployed Engineering AI Workflows Product Engineering Git