Luis Gonzalez
Available for work

Hey, I'm Luis Gonzalez

Machine Learning and Backend Engineer from Miami, Florida. Specialized in MLOps, distributed systems, and building scalable backend pipelines.

Work Experience

Backend Software Engineer

Boats Group · Miami, Florida

August 2025 - February 2026

Python
PostgreSQL SQL
AWS AWS
Snowflake Snowflake
OpenAI LLMs
Docker Docker
  • Expanded total addressable market and revenue potential by scraping and enriching data for 14,000+ existing Salesforce accounts, uncovering cross-sell, upsell, and new monetization opportunities across adjacent verticals.
  • Orchestrated LLM inference through API calls to transform unstructured HTML into structured data using semantic understanding.
  • Designed a scalable backend execution model using AWS Lambda and ECS/Fargate to run multiple instances of a Python extraction script coordinating LLM API calls.

Data Engineer Intern

Boats Group · Miami, Florida

May 2025 - August 2025

Python
AWS AWS
Snowflake Snowflake
SQL SQL
  • Engineered a scalable, end-to-end data pipeline using Python, SQL, and AWS Lambda to ingest, normalize, and store government registration data from public APIs into AWS S3 and Snowflake.
  • Automated ETL processes using AWS Lambda and implemented schema validation through data contracts to ensure consistent and reliable ingestion of high-volume datasets.
  • Modeled cleaned registration and lead data into structured, analytics-ready schemas to support fuzzy matching and supervised ML models for lead attribution and Looker dashboards.

IT Support Intern

Doeren Mayhew · Miami, Florida

September 2024 - January 2025

Desktop Hardware Support
APIs API Integrations
  • Assisted with API integrations by testing, analyzing, and troubleshooting connectivity and performance.
  • Supported IT operations, including software installation, system updates, and Windows troubleshooting.

Talks & Presentations

Blog

Blog Preview

Technical Blog

I write about machine learning engineering, MLOps, distributed systems, and backend development. Topics include model deployment, data pipelines, Kubernetes, and Python best practices.

Visit Blog

Projects

ML Pipeline Orchestrator
Python Ray Ray Kubernetes Kubernetes

ML Pipeline Orchestrator

Distributed ML training pipeline orchestrator built with Ray and Kubernetes. Handles data preprocessing, model training, and deployment at scale.

Feature Store
FastAPI FastAPI Redis Redis Snowflake Snowflake

Real-time Feature Store

Low-latency feature serving system for ML models. Supports batch and real-time feature computation with Redis caching and Snowflake integration.

GitHub ETL Pipeline
Python RabbitMQ RabbitMQ Docker Docker

GitHub ETL Pipeline

Batch ETL pipeline for processing 3TB+ of GitHub repository data with queued workers, API-driven ingestion, and downstream search and LLM-oriented analytics use cases.

Certifications

About Me

I'm a passionate ML and Backend Engineer with 1 year of experience building scalable backend systems and data pipelines. I love tackling complex distributed systems challenges and making ML models production-ready.

My expertise spans the full ML lifecycle from data pipelines and feature engineering to model training, deployment, and monitoring. I write about these topics on my blog and speak at conferences.

I'm currently based in Miami, Florida and I'm always open to discussing interesting MLOps challenges, distributed systems architecture, or new opportunities.