Daniel Puente

Personal Projects

Reliable, energetic, and resourceful Generative AI Scientist with experience in generative AI, cloud services (Azure & AWS) and Deep Learning since 2019. Ability to develop complex artificial intelligence algorithms in diverse fields. Expertise in identifying business problems and developing solutions based on AI and advanced analytics.

Projects

Fine-Tuning Image-to-Text algorithms with LORA

Client: NTT Data

GNN fraud detection algorithm deployed in a production Azure ML system

Client: BBVA

NFL contact detection applying Computer Vision

Client: NTT Data

LSTM + GANs Lithium-ion battery RUL prediction

Client: Mondragon University

Optimising engine design using multi-objective evolutionary algorithms

Client: LCM

Clothes recommendations applying GNN + Catboost

Client: Lookiero

LSTM for Montecarlo simulation using Hyperas

Client: BBVA

Coevolution evolutionary algorithms for feeder mapping problem

Client: Ormazabal

Stock prediction using Recurrent Neuronal Networks and Prophet

Client: Pc Componentes

Start up valuation using scrapping and ensemble models

Client: Mondragon Corporation

Projects

Fine-Tuning Image-to-Text algorithms with LORA Client: NTT Data

GNN fraud detection algorithm deployed in a production Azure ML system Client: BBVA

NFL contact detection applying Computer Vision Client: NTT Data

LSTM + GANs Lithium-ion battery RUL prediction Client: Mondragon University

Optimising engine design using multi-objective evolutionary algorithms Client: LCM

Clothes recommendations applying GNN + Catboost Client: Lookiero

LSTM for Montecarlo simulation using Hyperas Client: BBVA

Coevolution evolutionary algorithms for feeder mapping problem Client: Ormazabal

Stock prediction using Recurrent Neuronal Networks and Prophet Client: Pc Componentes

Start up valuation using scrapping and ensemble models Client: Mondragon Corporation