carlos_pineda — bash — 80×24

$ whoami

Carlos Iván Pineda Santiago

$ cat role.txt

█

$ cat about.md

Software Engineer & AI Engineer with 5+ years building scalable backend services and web apps in Python, NodeJS & C# on AWS, across Fintech, Banking and PropTech. I build AI-powered applications — LLM integrations with Claude, RAG pipelines and workflow automation with n8n — taking products from design to production.

$ ./resume --en $ ./cv --es $ ./contact_me

▹ about_

const engineer = {
  name:     "Carlos Iván Pineda Santiago",
  role:     "Software Engineer & AI Engineer",
  experience: "5+ years",
  focus:    ["Backend", "AWS", "AI / LLMs", "RAG", "Automation"],
  sectors:  ["Fintech", "Banking", "Real Estate"],
};

I design and operate reliable backend services, APIs and data pipelines, mostly in the financial and real-estate sectors. Lately I focus on AI engineering: building LLM-powered apps and agents with Claude, RAG over private data, and workflow automation with n8n — turning ideas into production-grade products.

▹ skills_

> Backend & Full Stack Development

Building RESTful APIs and backend services using Python and NodeJS, with clean, maintainable architecture.
Responsive web frontends with JavaScript and modern frameworks for internal tools and customer-facing apps.
Integrating external services, financial APIs and data sources into production applications.

> AI Engineering & Automation

Building LLM-powered apps and agents with Claude and GPT — prompt engineering, tool/function calling and structured outputs.
RAG pipelines over private data: chunking, embeddings and vector search to ground answers in real context.
Workflow automation and integrations with n8n, wiring APIs, LLMs and business tools into end-to-end flows.

Claude OpenAI / GPT LangChain RAG Embeddings Vector DB n8n Python

> Data Science & Machine Learning

Building and evaluating supervised & unsupervised models — Random Forest, XGBoost, K-Means and neural networks — for pattern detection and signal generation.
End-to-end workflow: data cleaning, exploratory analysis, feature engineering, model optimization and clear communication of results.
Certified in Data Science & Machine Learning by MIT and UNAM; applied ML in production systems.

> Cloud Infrastructure & Data Platforms

Deploy, operate and monitor backend services on AWS using managed services for reliability and scale.
Applications with integrated relational and NoSQL databases for transactional and analytics workloads.
Data flows and streaming jobs on AWS enabling event-driven architectures and real-time processing.

▹ experience_

October 2024 — Current

Backend Developer @ Konfío

Backend development for banking products using Python and NodeJS on AWS, contributing to data-intensive financial services.

Ciudad de México, México

May 2022 — September 2024

Full Stack Developer @ GBM

Developed services in Python, NodeJS and C# for trading and investment platforms, and integrated market data & time series into APIs used by internal tools and dashboards.

Ciudad de México, México

Nov 2021 — May 2022

Full Stack Developer @ Tuhabi

Implemented backend services in Python (Django) and NodeJS on AWS for the real-estate market, working with large property datasets and integrations.

Ciudad de México, México

Mar 2020 — Nov 2021

AWS Cloud Engineer @ Codster

Delivered custom backend solutions for various clients in Python, Django, Flask and NodeJS on AWS Cloud — Elastic Beanstalk and Lambda functions.

Ciudad de México, México

▹ education_

Universidad Nacional Autónoma de México

B.Sc. Earth Sciences, Space Sciences · 2015–2019

Earth and Space Sciences with a strong mathematical and physical background.
Calculus, Statistics, Algebra and Physics supporting quantitative analysis.
Social service at IIMAS working on evolutionary programming.

Instituto de Estudios Universitarios

B.Eng. Computer Systems · 2016–2020

Core software engineering: Algorithms, Databases, Operating Systems and OOP.
Courses on Blockchain, Data Science, Cloud Computing and Full Stack.
Intermediate specialization in high-performance computing with Python.

> certifications

Data Science & Machine Learning: Making Data-Driven Decisions MIT Schwarzman College of Computing · 2024

Analytical Introduction to Data Science Facultad de Ciencias — UNAM · 2025

▹ contact_

./contact.sh

$ echo $MESSAGE

Available on most platforms — I usually reply within 24 hours. Happy to help with Python, backend development, APIs, cloud architectures and data-oriented projects.