$user@roberthc.dev:~$ls projects/
Projects
AI-Powered Development Workflow [2025]
Our team was losing too much time on repetitive development tasks - searching documentation, waiting for code reviews, and explaining the same business patterns over and over to new developers.
We im...
Key Results:
- Faster development - instant expert assistance available 24/7
- Consistent code quality - every PR receives thorough automated review
Tech Stack:
Amazon Q DeveloperGitHub ActionsScalaApache SparkFunctional ProgrammingCI/CD+2 more
Ingestion engine with PySpark [2022]
I worked on a project in which it was necessary to perform multiple ingests of information to the datalake (on-premise). Up to that moment, the client performed new ingests of information as 100% new ...
Key Results:
- Reusable and optimised code. The validations and processing that were performed in each new ingestion were encapsulated in the component so that they could be reused in new ingestions.
- Development times were reduced by 90%, since for new ingestions we limited ourselves to the use of the "engine".
Tech Stack:
pythonPySparkHadoopHiveOOPSOLID+4 more
AutoDoc [2022]
All companies/customers have an established change flow for deploying components to the production environment, some more complicated and bureaucratic than others. Where I work, the change flow to dep...
Key Results:
- The time to generate and document tickets to production was reduced by 95%.
- Human error in ticket generation and documentation was eliminated.
Tech Stack:
C# (netcore)Javascript (ES6)PythonApi RestJiraBitbucket+6 more
Legacy Checker [2022]
Legacy Checker, is a tool that is injected into the Remedy front end (HTML), in order to perform validations on the tickets and thus avoid making mistakes, with which the following benefits were achie...
Key Results:
- Early identification of errors in the ticket.
- Reduction of ticket deployment time.
Tech Stack:
Javascript (ES6)RegexGulpOOP