Armando Galvan

Skills

Python Django FastAPI Flask Node.js
Nest.js Express.js Fastify REST APIs
GraphQL PostgreSQL MySQL
MongoDB AWS Docker Kubernetes
CI/CD GitHub Actions GitLab CI
Jenkins Celery Redis RabbitMQ Kafka
LangChain LLM Tensor Fl o w Scikit-learn
PyTorch React.js Next.js Tailwind CSS

About

A digital product agency that designs and builds web and mobile applications for clients.
Developed and maintained over 20 backend services and APIs 􀕄REST and GraphQL􀕅 using
Python, Django, FastAPI, and Node.js to support high-traffic applications.
Increased data retrieval efficiency by 25%, enabling faster feature delivery.
Integrated a wide range of third-party systems to automate workflows and cut manual
data handling by 35%.
Implemented AI-powered backend capabilities with LangChain, connected external tools
and data sources, and applied TensorFlow and scikit-learn to improve data pipelines and
model accuracy.
Built end-to-end machine learning pipelines using Pandas, NumPy, MLflow, and AWS and
GCP services for training, evaluating, deploying, and monitoring models in production.
Delivered polished frontend features with React.js, Next.js, TypeScript, and Tailwind CSS,
including dashboards, internal tools, and customer-facing interfaces.
Worked closely with design teams to craft responsive, accessible, and high-performance
UI components.
Maintained 99.9% uptime through proactive monitoring and system optimization.
Improved AWS and GCP Docker Kubernetes deployment pipelines, increasing release
frequency by 20%.