Machine Learning / MLOps Engineer | Backend & Cloud

I'm an Information Systems undergraduate at the Federal University of Rio Grande (FURG), graduating in 2027, and currently working on applied R&D projects at iTec/FURG's EMBRAPII unit.

I focus on the engineering behind machine learning systems, from models and data pipelines to backend services, cloud infrastructure and deployment.

My current work spans optimization, ML systems, AWS infrastructure, LLM applications and recommender systems, primarily using Python, Go and Terraform.

End-to-end movie recommendation system built over 4.3M+ Letterboxd interactions.

Implemented hybrid SVD/FAISS + popularity candidate retrieval, reaching 84.3% candidate recall at a 2,000 item retrieval budget and 99.8% catalog coverage in offline evaluation. The system also includes asynchronous data ingestion, reproducible offline ML pipelines and a FastAPI inference service.

Python · FastAPI · PostgreSQL · FAISS · scikit-learn · Docker

Self hosted AI document processing platform built around an event driven architecture and designed to run efficiently on CPU only infrastructure.

A Go API gateway coordinates asynchronous Python workers for document summarization, RAG and speech transcription. The system includes Redis backed task state, content addressed processing, S3 compatible object storage, SSE streaming, artifact caching and local LLM inference with Qwen.

Live application →

Go · Python · Redis · Qwen · llama.cpp · FAISS · Faster Whisper · Cloudflare R2 · Next.js

Fully automated serverless newsletter that collects and curates content from 14 AI and software engineering sources every weekday.

A Go pipeline running on AWS Lambda processes the feeds, uses Amazon Bedrock to evaluate and summarize selected articles, persists editions in DynamoDB and distributes the newsletter through SES, at approximately $2/month in LLM inference costs.

Live dashboard →

Go · AWS Lambda · EventBridge · Amazon Bedrock · DynamoDB · SES · S3 · CloudFront · AWS SAM

Reproducible shared infrastructure for running multiple portfolio applications on a single VPS without turning the server into an unnecessarily complex platform.

Provides reverse proxying and automatic HTTPS, shared PostgreSQL and Redis services, Prometheus and Grafana observability, container and host metrics, automated PostgreSQL backups to external object storage, Docker network isolation and Debian bootstrap automation.

Docker · Caddy · PostgreSQL · Redis · Prometheus · Grafana · Linux · Shell

At iTec/FURG, I work on two applied R&D projects.

CELIA focuses on backend engineering and Genetic Algorithm based fleet optimization, including multi objective fitness functions, operational constraints and scenario evaluation.

LAPIS focuses on Machine Learning and AWS infrastructure engineering, with reusable Terraform modules, container orchestration, serverless inference and automated cloud deployments. I authored core Terraform infrastructure for ECS, RDS, Lambda and S3, as well as most of the orchestration for its main AWS deployment scenarios. The most complex environment can be provisioned completely with a single terraform apply in approximately 10 minutes.

Previously, during the BRISA ICT Residency, I designed and implemented the complete backend of an administrative platform that was deployed and used by a psychology clinic.

Machine Learning & AI
PyTorch · scikit-learn · LightGBM · FAISS · NumPy · Pandas · Recommender Systems · LLMs · RAG · Computer Vision · Genetic Algorithms

Cloud & MLOps
AWS · Terraform · Docker · Git · GitHub Actions · CI/CD · Linux

Backend & Data
Python · Go · TypeScript · FastAPI · Django REST Framework · Echo · PostgreSQL · Redis · SQLAlchemy · Alembic

Architecture & Systems
Event Driven Systems · Asynchronous Processing · Serverless · Infrastructure as Code · REST APIs

I'm particularly interested in problems at the intersection of Machine Learning, Software Engineering and Infrastructure, especially ML Engineering, MLOps and AI Engineering.

Based in Rio Grande, Brazil, and open to remote internship and junior opportunities.

Outside engineering, I'm into cinema, chess and music.

LinkedIn · Email