Salvador Elena | Full-Stack AI Platform Engineer

Salvador Elena

Full-Stack AI Platform Engineer

Based in Monterrey, MX

About

I don't just integrate AI — I build the platforms that make it run in production. Over the past few years I've worn many hats inside the same mission: turning raw data into real business intelligence. That means architecting end-to-end AI pipelines, maintaining proprietary analytics platforms, configuring enterprise telephony infrastructure, and shipping quantitative trading systems — all in production, all from scratch.

Skills

Projects

Customer Churn Prediction

Predict which customers are about to churn so the marketing team can offer promotions and retention plans before they leave.

Sentiment Analysis

Build a text classification system to automatically detect negative movie reviews

Data Cataloging & Prediction

Solving problems for an insurance company using machine learning: customer similarity search, benefit probability prediction, benefit count regression, and data privacy protection.

Age Estimation from Facial Photos

Training a deep learning model to estimate a person's age from a photograph. Using transfer learning with ResNet50 on a dataset of ~7600 labeled face images.

Experience

2025

AI Systems Developer

Building production AI infrastructure and analytics platforms for call center environments.

2023-2025

Algorithmic Trading Systems Developer (Personal Project)

Built a multi-broker algorithmic trading system in Python integrating IQ Option, Binance Futures, and Phemex APIs — covering deep learning trining models, live execution, backtesting, and risk management across 22 forex pairs and 4 timeframes

2024

Data Scientist At Geosierra

Data Scientist and Web Developer for a land surveying company

Education

2023

TripleTen Data Science

9-Month intensive Data Science program covering the full applied ML stack — from Python fundamentals to deep learning and computer vision. Key projects: · Churn prediction model for a telecom dataset using Random Forest and Gradient Boosting, optimized via AUC-ROC · Age estimation via computer vision using ResNet50 transfer learning — MAE ~6 years across 7,600 images · NLP sentiment classifier using BERT + TF-IDF pipeline on the IMDB dataset · Time series demand forecasting using Prophet and LSTM for taxi ride volume · Linear Regression implemented from scratch using matrix algebra (NumPy) — no ML libraries · Insurance data privacy via invertible matrix obfuscation

2025

Data Engineering & Artificial Intelligence IEU University

Bachelor's Degree in Data Engineering & Artificial Intelligence. Specialized in data analysis, machine learning, data mining, cloud computing, big data technologies, and intelligent systems development using modern AI methodologies.