Javier Piedra

Builder, engineer, and startup operator.

Javier Piedra

I build practical software systems around health, operations, AI workflows, and small-team execution.

I work on software, healthtech, AI-assisted workflows, and operational systems. Most of my work sits between product, engineering, and the messy real-world processes that software has to support.

Javier Piedra

About

I am based in Mexico City. I am a full stack software developer and startup co-founder.

I care about clear engineering, practical systems, and building tools that survive contact with real operations. I like working close to the business problem, not just the code.

What I'm building

Main project

Awra

A healthtech company focused on coordinating medication access, pharmacy operations, inventory, digital orders, and treatment-related workflows.

It starts with pharmacies and medication access, but the broader goal is treatment coordination: making it easier for patients, caregivers, pharmacies, and health partners to keep care moving.

Under Awra

Farmacias de Barrio

A pharmacy-facing platform for independent pharmacies to manage inventory uploads, digital sales channels, orders, payments, and operational visibility.

The work is practical: fewer manual handoffs, clearer order state, better inventory data, and tools that match how pharmacies actually operate.

AI workflows

AI Content Systems

AI-assisted content and research workflows involving retrieval, reranking, structured outputs, review loops, editorial checks, and publishing support.

The useful part is not the model by itself. It is the loop around it: evidence, constraints, review, retry behavior, and clear handoff to humans when the system should stop.

Small-team leverage

Product & Operations Tooling

Internal tools, dashboards, automations, and workflows for small teams: inventory flows, order management, onboarding, data cleanup, admin dashboards, and workflow automation.

I am usually trying to remove an operational bottleneck, make state visible, or turn a fragile manual process into something repeatable.

How I work

  • Clear systems beat clever systems.
  • Software should match the real operation, not an idealized process.
  • AI is most useful when it reduces repetitive work or improves coordination.
  • Documentation is part of the product.
  • Small teams need leverage, not more chaos.

Technical notes

Product engineering

React, Next.js, TypeScript, Rails, Django, GraphQL, PostgreSQL.

AI workflows

LLM workflows, retrieval, reranking, structured outputs, review loops, evaluation, agentic workflows.

Operations software

Dashboards, inventory systems, order flows, onboarding systems, automation, data pipelines.

Product practice

Shape Up, system design, technical planning, documentation, product operations.

Previous work

Good Ancestor

Built content-intelligence systems for research, editorial workflows, and publishing support.

Honest Policy

Worked on insurance software across product engineering, frontend systems, Rails delivery, QA practices, and team execution.

P&P Digital Consulting

Helped companies design digital marketing, sales operations, and conversation automation.

Bratdev

Built Django, React, React Native, and GraphQL systems for a fintech product team.

Writing / Notes

I sometimes write notes about software, AI workflows, product decisions, and the process of building Awra.

TODO: Add links to essays, technical notes, or project writeups.

Contact

You can reach me through LinkedIn or GitHub.

I'm usually open to conversations about healthtech, AI systems, software architecture, and practical product work.