Available for opportunities

Edwin Cubillos

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I am a Senior Software Engineer & AI Architect with over a decade of experience building high-scale systems for global leaders like Uber, Nokia, and Mercado Libre.

My expertise lies at the intersection of robust backend architecture and Generative AI. I don't just 'use' AI; I design and deploy production-ready RAG systems, AI agents, and LLM integrations that solve real business problems. Whether it’s optimizing microservices in Go and Python or securing AI workflows against prompt injections, I focus on building technology that is scalable, secure, and impactful.

I’m driven by the 'Vibe Coding' philosophy—leveraging the latest AI tools to ship faster and better without losing sight of engineering excellence.

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Dev Note: This is a 100% static, client-side web app.
No backend needed! All interactive logic and AI runs right here.
10+
Years Exp.
3.5+
Years in AI
3
Languages
8+
Companies
Edwin Cubillos
Open to Work

What I Work With

Skills & Tech Stack

Languages

Python Go JavaScript TypeScript SQL
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Frameworks & Libraries

Django FastAPI Flask Node.js React Next.js Redux REST APIs

AI & Machine Learning

LLMs OpenAI LangChain LangSmith Pinecone Amazon Bedrock Vertex AI RAG Systems ChromaDB Claude Code Antigravity TTS

Cloud & Infrastructure

AWS Azure AI Docker Terraform Kubernetes Jenkins Ansible CI/CD CloudFormation Linux

Databases

PostgreSQL MongoDB DynamoDB BigQuery SQL Server MySQL SQLite Redis
🗣️ 🇺🇸 🇧🇷 🇪🇸

Spoken Languages

English — Professional Spanish — Native Portuguese — Professional
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Others

HTML CSS C++ C# Scrum Kanban Datadog Kibana Elasticsearch

Career Path

Work Experience

Glint

Founding Engineer & AI Consultant

📅 Jan 2026 – Present 📍 Remote

Strategic Architecture & Execution: Acting as the primary technical architect and hands-on builder for enterprise AI solutions, designing robust MVPs and PoCs from the ground up to validate core business hypotheses.


Vibe Coding & Modern Stack: Leveraging a cutting-edge "Vibe Coding" workflow with Claude Code, Lovable, and Cursor to accelerate delivery cycles while maintaining engineering excellence.


AI Orchestration: Engineering sophisticated RAG systems and autonomous agents using Anthropic LLMs, LangChain, and LangSmith for rigorous monitoring and observability.


Full-Stack Delivery: Deploying scalable, secure applications by integrating Supabase for backend-as-a-service, React for intuitive frontends, and Monx.dev for streamlined deployments.


Early-Stage Leadership: Translating high-level business requirements into technical roadmaps, providing end-to-end design solutions and architectural guidance during the critical early steps of product development.

Anthropic LLMs LangChain LangSmith Claude Code Lovable Cursor React Supabase Monx.dev

Contractor (Stori)

Artificial Intelligence Engineer

📅 Apr 2025 – Jan 26 📍 Remote

Building RAG systems, API integrations, and LLM-powered solutions for Storicard and Milabs. Working with LangChain, LangSmith, ChromaDB, Claude, OpenAI, embeddings, and evaluation pipelines. Reduced manual workload by 40% using AI automations

Python Go LangChain OpenAI CloudFormation

Mercado Libre

Software Engineer — Generative AI Team

📅 Feb 2024 – Apr 2025 (1 yr 3 mo) 📍 Bogotá

Harnessed and deployed advanced AI technologies from OpenAI, Amazon Bedrock, Vertex AI, and Meta to enhance internal processes. Key areas: image recognition, image generation, text completion, and advanced AI solutions.

Go Python FastAPI Docker BigQuery AWS OpenAI Bedrock

Services Steam

Principal Engineer

📅 Aug 2023 – Feb 2024 (7 mo) 📍 LATAM

Led application development, cloud management on AWS, and team leadership. Implemented CI/CD pipelines, conducted code reviews, and collaborated with product managers and designers. Mentored junior engineers and drove technical direction.

Django Node.js React AWS CI/CD

Uber

Software Engineer / Backend Engineer

📅 Mar 2022 – May 2023 (1 yr 3 mo) 📍 Colombia

Focused on grocery section integration within back-end APIs and mobile apps. Built REST APIs with layered architecture for scalability. Also contributed to the Cornershop onboarding process for new shoppers.

Python React REST APIs

Nokia

Senior Software Engineer & Team Lead

📅 Apr 2018 – Feb 2022 (3 yr 11 mo) 📍 Bogotá / Rio de Janeiro

Progressed from Mid Python Developer to Senior Engineer and Team Lead. Mentored team members on best practices, conducted code reviews, and led outsourcing software development across Colombia and Brazil.

Python Django

Axiacore

Software Web Developer

📅 Jan 2018 – Apr 2018 (4 mo) 📍 Bogotá

Delivered high-efficiency code in a fast-paced software factory. Leveraged CI/CD and automation best practices for seamless integration and deployment.

Rapigo.co

Backend Developer

📅 Mar 2017 – Jan 2018 (11 mo) 📍 Bogotá

Enhanced and implemented new functionalities, conducted unit testing, integrated frontend and backend improvements. Proficient in API integrations, OOP, and version control with Git.

MYO-PYTHON-BEBOP

Freelance — Thesis Project

📅 Oct 2015 – May 2016 (8 mo) 📍 Colombia

Developed Python software to pilot a Bebop Drone using the MYO armband as the control interface. University thesis project.

ROCH Electronics

Junior Software Engineer

📅 Jan 2014 – Dec 2014 (1 yr) 📍 Boyacá, Colombia

Testing, debugging, conversions, and modifications using Python, C, C++, C#, Matlab, and ASM (PICs).

Academic Background

Education

UPTC

Bachelor of Science (B.S.), Electronic Engineering

Universidad Pedagógica y Tecnológica de Colombia

2010 – 2016

IETD Monterrey

Industrial Technician

Instituto Educativo Técnico Diversificado - Monterrey

2008

⭐ Academic Excellence Award (Best Student)

Continuous Learning

Certifications

Google

Google Cybersecurity Certificate

Node

Node.js Essential Training

MIT⚡

MITx: Circuits and Electronics

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Applied Concurrency in Go

EF SET

EF SET English C1

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React.js Essential Training

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React: State Management

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Communicating with Confidence

Open Source

Projects

What I Can Do For You

AI Services

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AI Strategy & Consulting

Estrategia y Consultoría de Inteligencia Artificial

AI readiness assessment, use case identification, and technology roadmap design. I help companies understand where AI can deliver the highest ROI and build a pragmatic, risk-aware adoption plan.

Key Deliverables / Resultados Clave:

  • ✓ AI Readiness Audit: Assessment of your data infrastructure and capabilities.
  • ✓ Use Case Matrix: Analysis of ROI, complexity, and priority for potential AI projects.
  • ✓ Integration Roadmap: Detailed architecture and timeline for execution.
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AI Integration for Business

Integración de AI para Procesos y Productos

Seamless integration of AI capabilities into your existing products, software architectures, and team workflows. From automating customer support to intelligent document processing — built for production stability.

Key Deliverables / Resultados Clave:

  • ✓ Workflow Automation: AI bots integrated with Slack, WhatsApp, or CRM platforms.
  • ✓ Custom APIs: Secure, optimized endpoints connecting your software to LLMs.
  • ✓ Document Processing: Automated extraction and analysis from PDFs, receipts, and emails.
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RAG Systems & Knowledge Bases

Sistemas RAG y Gestión de Conocimiento Corporativo

Custom Retrieval-Augmented Generation (RAG) pipelines that securely connect LLMs to your company's proprietary data. Get accurate, context-aware answers from your internal documents, wikis, databases, and files.

Key Deliverables / Resultados Clave:

  • ✓ Secure Semantic Search: Vector databases (Pinecone, pgvector) with hybrid retrieval.
  • ✓ Proprietary QA System: LLM assistant that answers questions using only your documents.
  • ✓ Source Citations: Full transparency with citations linking back to original documents.
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Custom LLMs & AI Agents

Soluciones LLM y Agentes Autónomos a Medida

End-to-end development of custom LLM applications, advanced prompt engineering, and multi-agent systems. Built with LangChain, OpenAI, Claude, and Amazon Bedrock, deployed on scalable, secure cloud infrastructure.

Key Deliverables / Resultados Clave:

  • ✓ Autonomous Agents: AI that can use search, write code, and take actions.
  • ✓ Prompt Engineering: Optimizations for cost, accuracy, latency, and security.
  • ✓ Scalable Backend: High-performance server infrastructure (Go/Python) with monitoring.

Ready to adopt AI? ¿Listo para adoptar AI?

Book a free consultation to discuss your use case.

📅 Book Free Consultation
📍 Sevilla, Spain 📍 Colombia 🌍 Remote Worldwide

Common Questions

FAQ

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How can I integrate AI into my business in Spain or Colombia?

AI Adoption Strategy

I help businesses adopt AI through a proven, low-risk process designed to deliver clear return on investment:

  • AI Readiness Assessment: Analyzing your data pipelines, tech stack, and resource availability.
  • Use Case Identification: Finding high-impact areas (e.g. automating support, data extraction, internal knowledge search).
  • Production MVP: Building a production-ready solution within weeks (RAG systems, LLM endpoints, AI agents).

I work with companies in Sevilla, Spain, and Colombia remotely as well as on-site.

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¿Cómo puedo integrar inteligencia artificial en mi empresa?

Estrategia de Adopción de AI

Ofrezco consultoría especializada en adopción de AI para empresas a través de un proceso estructurado:

  • Evaluación de madurez tecnológica: Análisis de tus sistemas de datos actuales.
  • Identificación de casos de uso: Identificar procesos automatizables de alto impacto (atención al cliente, procesamiento de documentos, análisis de datos).
  • Desarrollo productivo: Construcción e integración de sistemas RAG, LLMs y agentes de AI.

Trabajo con empresas en Sevilla, España y Colombia de forma remota y presencial.

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What is a RAG system and how can it help my business?

Retrieval-Augmented Generation Explained

RAG (Retrieval-Augmented Generation) is a technique that securely connects your company's proprietary data with Large Language Models (LLMs) like GPT-4 or Claude:

  • No Hallucinations: Instead of guessing, the AI queries your documents, databases, or knowledge bases first.
  • Strict Context: The model generates responses based exclusively on the retrieved context, ensuring high accuracy.
  • Source Citations: Answers come with direct links/citations to original documents for transparency.

Ideal for customer support bots, internal research assistants, and automated document analysis.

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¿Cuánto cuesta contratar un ingeniero de AI?

Modelos de Tarifas de Consultoría

El costo varía dependiendo del alcance, complejidad y duración del proyecto. Ofrezco tres modelos principales:

  • Consultoría por horas / Bolsa de horas: Ideal para asesorías, mentorías o revisiones técnicas puntuales.
  • Proyectos a precio cerrado: Ideal para MVPs delimitados (ej. un bot de RAG personalizado implementado en 3 semanas).
  • Contrato mensual (Retainer): Para empresas que buscan un soporte técnico continuo y desarrollo constante de soluciones de AI.

Contáctame para recibir una evaluación gratuita de tu caso de uso y un presupuesto a medida.

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What is the difference between an AI Engineer and a Data Scientist?

Role Specializations

While both work with artificial intelligence, their core focuses and deliverables differ substantially:

  • AI Engineer (My Focus): Focuses on building production-ready AI systems. Integrating LLMs, deploying vector databases, orchestrating multi-agent systems, writing robust backend services (Python/Go), and embedding AI within existing applications.
  • Data Scientist: Focuses on statistical analysis, data cleaning, exploratory research, training custom machine learning models (regression, classification), and uncovering trends in large datasets.

Essentially: A Data Scientist uncovers the insights; an AI Engineer builds and deploys the scalable software product.

Let's Connect

Get in Touch

Whether you have a project idea, a collaboration opportunity, or just want to say hello - I'd love to hear from you.

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