Avalou takes on the whole stack: web products, cloud infrastructure, data platforms, and production AI. A senior engineer leads each engagement from architecture through delivery.
Full-Stack Web Development
Complete web application development from frontend to backend, including API design, database architecture, and deployment.
Key Capabilities
React, Vue, Angular, and other modern frameworks
Node.js, Python, and other backend technologies
Database design and optimization
API development and integration
Backend Development & System Architecture
Robust backend systems and microservices architectures designed for scalability and reliability.
Key Capabilities
Microservices architecture
API design and development
Database optimization
System design and performance tuning
Cloud Infrastructure
Cloud migration, infrastructure setup, and management for AWS and Google Cloud Platform.
Key Capabilities
Cloud architecture design
Infrastructure as Code (Terraform, CloudFormation)
Container orchestration (Kubernetes)
CI/CD pipeline setup
Data Engineering
ETL pipelines, data warehousing, and analytics for businesses that run on their data.
Key Capabilities
ETL pipeline development
Data warehousing (Redshift, BigQuery)
Data analytics solutions
Real-time data processing
AI and MLOps
Production AI systems that hold up beyond the demo: model integration, agents, and the MLOps foundations to run them.
Key Capabilities
LLM and model integration
Agent and workflow development
Evaluation and regression testing for model behaviour
Model deployment, monitoring, and cost control
AI Native
A fixed-price sprint that makes an app built with AI tools, a freelancer or a small team ready for paying customers. You keep your features and design.
Recent partner-led work, anonymised. The same senior engineer scoped, architected, and shipped each one.
Enterprise · ML platform
Azure
Databricks
MLflow
Terraform
Python
From notebooks to a production ML platform
The client's data scientists could experiment but had no reliable route to production: they built environments and deployed models by hand, and could rarely reproduce a result. Avalou led the architecture and built the platform as code, provisioning Databricks and MLflow through Terraform with automated pipelines for data, training, and deployment.
Outcome: environment provisioning moved from manual setup to a single Terraform apply, training runs became reproducible, and models now reach production through a reviewed pipeline.
UK fintech · SME lending
Python
FastAPI
Kafka
AWS
Kubernetes
Senior hands inside a live lending platform
A UK lender needed senior engineering capacity inside its event-driven Python estate: new features, production diagnosis, and integrations spanning several internal teams. Avalou worked in the core services, building FastAPI features and Kafka event handlers and architecting the contracts between neighbouring teams' services.
Outcome: worked directly in the production event path, shipping features into live lending flows under the team's existing review and release process.
Ready to get started?
Tell us what you're building and where you need senior help.