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.
TYPESCRIPT
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)
Evidence
Format: context → decision → outcome.

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

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.
Internal intranet-style app for strategic planning.
End-to-end delivery (planning + backend + frontend): FastAPI + clear endpoints + fast UI.
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).
Registering and consulting lessons learned in an enterprise environment.
Migrated the UI to React + Material UI and integrated the ChatGPT API for enrichment and natural-language search with token control.
Better UX and maintainability; more effective queries through AI-powered search.
How I work
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
Stack
Essentials: core, quality, and applied AI.
Core
Quality
Applied AI
CV / Hiring Packet
Recruiter links + profile packet request.
- Frontend / Full-stack / Mobile / Product / AI
- Remote
Profile packet available on request.
Full CV shared through verified contact.
Open Uplink
Contact
Contact
Write me and tell me what you're trying to achieve. I’ll reply with the next steps.
TRANSMISSION
Profile packet available on request.