Kallikor | Improbable · promoted from Associate Modelling Engineer
Build and test discrete-event simulation models in Python (SimPy) of complex operations: resources, material flows, storage and automated handling.
Own modelling work on client projects end to end, from turning open questions into scenarios to explaining the results to consultants and clients.
Worked through an unfamiliar legacy model under time pressure and delivered an analysis in two days that evidenced significant potential annual savings for a client.
Designed and built a reusable, config-driven Python data framework (modular ETL tasks, data validation, local and AWS S3 data flows) now shared across client projects.
Led the restructuring of shared ETL infrastructure for consistency and reuse, and contribute to automated testing, code review and design decisions.
Mentor and onboard engineers, and run internal knowledge-sharing sessions.
Use AI coding assistants for prototyping and debugging, with every change reviewed and tested.
A blockchain-based project connecting women seeking support with women offering help to tackle gender violence. Developed at IAAC with Adriana Aguirre Such and faculty Maria-Luisa Marsal Llacuna.