Founder & CTO with 6+ years of experience building products and scalable backend systems from scratch.

I specialize in:

• Backend systems & APIs
• Data infrastructure & distributed systems
• AI-driven workflows and agent-based automation
• Building real products in early-stage environments

My workflow is focused on speed, iteration, and execution.

I actively use:

• Cursor (AI-first development)
• LLM-assisted coding (ChatGPT, Claude)
• Rapid prototyping + iteration cycles

This allows me to:

• Move fast from idea → implementation
• Explore multiple approaches quickly
• Build and validate real systems in production environments

Most of the systems I’ve built are part of private company repositories, so I cannot share the full source code publicly.

Instead, this profile includes:

• Public experiments and prototypes
• Infrastructure examples
• AI and agent-based systems
• Documentation of real-world systems I’ve built

https://github.com/Adriagc8/agent-library-UP

Internal tooling and experimentation around agent-based workflows and automation.

https://github.com/Adriagc8/agent-stock-wastecollections

Agent designed to process and structure environmental data from waste collection workflows.

https://github.com/Adriagc8/agent_plastic_x

Exploration of agent-based systems for environmental data analysis and automation.

https://github.com/Adriagc8/blue-resilience-os

Distributed infrastructure platform for environmental data collection, processing, and analysis.

https://github.com/Adriagc8/blue-resilience-api

Backend APIs for data access, orchestration, and system integration.

https://github.com/Adriagc8/blue-resilience-auth

Authentication and identity layer for distributed systems.

https://github.com/Adriagc8/blue-resilience-ingest

Pipelines for ingesting multi-source data (mobile, IoT, environmental datasets).

https://github.com/Adriagc8/aww-cloudformation-practises

Examples of infrastructure-as-code using AWS CloudFormation:

• Event-driven architectures
• Scalable backend systems
• Cloud resource orchestration

https://github.com/Adriagc8/visualitzacio-de-dades-Microplastics-Marins

Data visualization project focused on marine microplastics.

https://github.com/adriagonzalez-uoc/PAC-2-Visualitzacio-Dades

Exploration of data analysis and visualization techniques.

https://github.com/Adriagc8/deeplearning-rnn

Recurrent neural networks for sequence modeling.

https://github.com/Adriagc8/deeplearning-cnn

Convolutional neural networks for image-based tasks.

• Built data infrastructure platform (ONDAs Data Space)
• Designed APIs and event-driven systems (AWS Lambda, SQS)
• Developed AI pipelines for image classification
• Integrated blockchain-based traceability

• Built AI agent for sales workflow automation
• Refactored 12-repo system into scalable architecture
• Developed backend + full-stack features

• Backend systems for 800k+ users (150k DAU)
• Microservices + performance optimization (Rust exposure)
• Real-time systems + scaling challenges

• Building systems that actually run in production
• Combining backend infrastructure with AI
• Designing reliable workflows in non-deterministic systems
• Shipping fast and iterating on real products

• LinkedIn: [www.linkedin.com/in/adria-gonzalez-copado

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