carlos_pineda — bash — 80×24

$ whoami

Carlos Iván Pineda Santiago

$ cat role.txt

█

$ cat about.md

Software Engineer & Data Scientist with 5+ years building scalable backend services in Python & NodeJS on AWS, across Fintech and Real Estate. Certified in Data Science & Machine Learning by MIT and UNAM. I bridge robust software engineering and applied ML to ship data-driven products, with a focus on algorithmic trading and quantitative research.

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

▹ about_

const engineer = {
  name:     "Carlos Iván Pineda Santiago",
  role:     "Software Engineer & Data Scientist",
  experience: "5+ years",
  focus:    ["Backend", "AWS", "AlgoTrading", "ML"],
  sectors:  ["Fintech", "Banking", "Real Estate"],
};

I design and operate reliable backend services and data pipelines, mostly in the financial and real-estate sectors. My core interest lives where software engineering meets data science: algorithmic trading, quantitative research and turning raw data 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.

> 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 trading 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_

2023 — Current

Founder & Owner @ QuantCoder // flagship

Founder and owner of QuantCoder — a quantitative crypto-trading platform I designed and built end-to-end. It analyzes 15+ pairs (BTC, ETH, SOL, XRP, ADA, DOT…) with machine-learning models trained on Binance history across multiple timeframes (4h / 1d / 1w / 1M), generating real-time LONG · SHORT · SIDEWAYS signals.

Auto-publishes technical-analysis charts to Facebook & X on trend changes, and sends personalized Telegram alerts to subscribers.
Web dashboard with live signals, interactive per-pair charts, GPT-4 AI analysis, a daily financial-news feed translated to Spanish, and Stripe subscriptions.
100% serverless on AWS (Lambda, DynamoDB, Step Functions, S3, CloudFront) with clean architecture and custom Random-Forest & K-Means classifiers.

↗ Visit quantcoderpro.com ↗ x.com/QuantCoderBot ↗ Facebook

Remote · México

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

▹ projects_

> Binance Swing Trading Bot

2021 · foundation of QuantCoder

Algorithmic swing-trading bot for Binance, written in Python and deployed on AWS.
Experimented with K-Means, neural networks, Random Forest and XGBoost for pattern detection and signal generation.

↗ Evolved into QuantCoder

> WSEN Latina — Scientific Network

2018 · UNAM

Website for a Latin-American space-science student network.
Built with PHP, Apache and JavaScript.

↗ wsen-latina.unam.mx

> Open Source & Experiments

GitHub

Backend, data and trading experiments, plus the source of this portfolio.

↗ github.com/Ivan252512

▹ 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.

email → ivan31416neda@gmail.com
github → github.com/Ivan252512
linkedin → Carlos Iván Pineda Santiago
project → quantcoderpro.com // QuantCoder