Applied AI

Two ways of working with AI

I don't position myself as a machine learning researcher. My strength is the layer that turns AI capabilities into usable products — and the one that uses AI to build better software.

Building products with AI

I turn AI capabilities into features people can actually use inside a digital product.

LLMs
RAG
Embeddings
Vector databases
Semantic search
Speech-to-text
Workflows
Dify
n8n

Engineering with AI

I use AI throughout the engineering process to improve research, implementation, testing, documentation and problem-solving.

Claude
Cursor
Agents
Skills
Code Review
Testing
Technical research

Featured projects

Sources

Meetings
Audio
Documents

LLM + Project knowledge

Dify · n8n

Speech-to-text
Embeddings
Semantic search
RAG

Documentation
Planning
Tasks

The system proposes · the team decides

Internal AI MVP

AI Project Management Assistant

Product, web, mobile and AI.

An internal innovation MVP that turns meetings into an always-updated project state. Not a finished commercial product.

LLMs
Prompt engineering
RAG
Embeddings
Vector databases

See detail

Product platform

LinkedAI

Interfaces for computer vision training.

Graphic tooling to create, annotate, curate and review large image datasets for computer vision.

React
JavaScript
Redux
HTML Canvas
Material UI

See detail

New opportunities

Available for the next challenge

I'm looking for remote opportunities where I can contribute through frontend engineering, product thinking and applied AI, while taking ownership of complex digital products.

Frontend Developer · Frontend Engineer · Product Engineering

Download CV

a.santiago.salas.b@gmail.com · Colombia · Remote