I'm a Software Engineer with over 11 years of experience in backend systems and machine learning. I love building scalable architectures, mentoring others, and crafting solutions that are both robust and elegant.
- 🔧 Backend Engineering (Python, Django, FastAPI, DynamoDB, PostgreSQL)
- ⚙️ Devops (AWS infra using Terraform, CI/CD pipelines with Circleci, observability and monitoring with Newrelic)
- 🤖 Machine Learning (MLOps, Model Deployment)
- 🤖 HR Chatbot – I led and managed the entire lifecycle of an internal chatbot development project, from initial scoping to final deployment and user training (Python with Rasa, Circleci - AWS).
- 🤖 Model Deploytment – Collaborated closely with Data Scientists to develop an inference API for sentiment analysis models (Python with Flask - AWS)
- 📩 Messaging orquestrator for CRM activations (SMS, PUSH and Email) – Sending emails to users saying that they have an offer available. With an approximate traffic of 2 million of messages per day (Python with Flask + Celery + PostgreSQL - AWS).
- 🧩 Integrations: Integrate third-party APIS with the main system responsible for information management (Python with Flask - AWS)
- 📊 Report generation for large data – Automation for generating daily reports over large datasets (Python with Flask - AWS)
Languages:
Frameworks & Libraries:
Databases:
Cloud & DevOps:
Monitoring & Testing:
- li-aws-helper: Python library designed to facilitate the management of AWS credentials
- li-memcached-client: Python package that helps to get memcached iteractions
- sagemaker-model: Deployment example of a model using sagemaker endpoints