Software Developer • Medellín, Colombia (Remote)
Camilo Restrepo
I build web and mobile products with applied AI. Clear UX, maintainable architecture, and measurable improvements (performance, automation, scalability). Product mindset (Lean) with agile teams.
Focus: strong delivery • documented decisions • end-to-end execution.
Hub
StackTYPESCRIPT
REACT
RN/EXPO
FASTAPI
I18N
PYTHON
DOCKER
API
AI
Solid architecture
Feature-sliced architecture, predictable state, and API integration. UI kit + design tokens.
Professional delivery
Small PRs, documented decisions, and regression/functional checks.
Applied AI
LLMs with structured JSON outputs and guardrails (cost control). AI-assisted workflow.
Evidence (selected cases)
Format: context → decision → outcome.

rödea (Health-tech, mobile)
Cross-platform app for caregivers: care support and wellbeing trend tracking, integrating wearable data.
Context: Wellbeing-focused health-tech product with critical caregiver flows and the need for cross-platform consistency.
Decision: Defined a maintainable frontend foundation: modular architecture + consistent navigation + i18n for multilingual support.
Outcome: Delivered a first functional version with reusable UI and a consistent iOS/Android experience, ready to iterate with the team.

SmartPlans (Full-stack + AI)
SmartPlans is a planning tool that helps users create strategic plans and generate AI-driven feedback (risks, suggestions, and estimated impact) using the OpenAI API.
Context: Internal intranet-style app for strategic planning.
Decision: End-to-end delivery (planning + backend + frontend): FastAPI + clear endpoints + fast UI.
Outcome: AI insights + useful PDF export.

LIA (AI Lessons) — SharePoint + React + GPT
Enterprise SharePoint app to register lessons learned; React UI + GPT to enrich content and enable AI-assisted search (filters + natural language).
Context: Registering and consulting lessons learned in an enterprise environment.
Decision: Migrated the UI to React + Material UI and integrated the ChatGPT API for enrichment and natural-language search with token control.
Outcome: Better UX and maintainability; more effective queries through AI-powered search.
How I work
Plan → evidence → delivery.
Planning
- • Problem, users, constraints + definition of success
- • Impact-based prioritization (MVP) + risks / tradeoffs
- • Clear plan: deliverables, validation, and checklist
Prototyping
- • Spikes/POCs to validate what matters (UX, integrations, performance)
- • Fast iteration with early feedback
- • If AI applies: structured prompts + guardrails/cost
Delivery
- • Clear documentation/evidence (decisions, tradeoffs, checklists)
- • Small PRs, measurable deliverables, focus on impact
- • Direct communication with team and stakeholders
Stack
Essentials: core, quality, and applied AI.
Core
Quality
Applied AI
CV / Hiring packet
One-click for recruiters: links + CV.
- • Open to roles: Frontend / Full-stack / Mobile / Product / AI
- • Remote
Contact
Write me and tell me what you're trying to achieve. I’ll reply with the next steps.