London, England, United Kingdom
Lead Data Scientist with 4+ years of professional experience in the areas of machine learning, deep learning and NLP, with an insane passion for getting things done. My main research projects have been around Sequence/Long Sequence Classification, Text/Information Extraction, Language Modelling, Sentiment Classification, Question Answering and Text Normalisation, both in supervised and unsupervised scenarios. From a Cloud engineering perspective I have experience with both AWS and Azure, exploiting Kubernetes as container orchestrator. I am able to build scalable ML pipelines using the most recent frameworks like Argo and Knative, being able to set up and harden the related K8 Manifests. I am mostly a Python coder, but I also have experience with Scala and Play framework in order to build scalable API. I am a polyhedric professional, always hunger for learning and excited to face new challenges and interesting problems. I always had to collaborate across multiple teams and multiple time-zones, and I am used to present my work to both a technical and non-technical audience.
The objective of this research was to firstly to learn the Input Convex Neural Network (ICNN) model and its implementation, a Neural Network model proposed by Brandon Amos et Al. in 2017 (https://arxiv.org/abs/1609.07152). Then the model was adapted in order to accomplish a recommendation task, in particular I have implemented an interactive algorithm in order to recommend new food products based on a set of food products the user already likes. The implementation and the related report can be found on my github profile.