Data Augmentation via Variational Auto-Encoders
Author of a paper on overcoming data scarcity using Variational Auto-Encoders, presented at CIARP 2018.
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As a Senior AI Engineer specializing in Image and Natural Language Processing, I am dedicated to advancing AI solutions through continuous learning and innovation. I thrive in collaborative environments, contributing significantly to team success and fostering a positive work culture.
I find it instructing and entertaining to make side projects on my own, so make sure to visit my portfolio section down below!
When I'm not working, I'm either playing music or doing outdoor activities like bungee jumping, climbing, paddle boarding, etc ...
I also love photography, so make sure to check out my Instagram photography channel. The footer and header photos of the website were taken and edited by me ;)
My latest Resume: Preview
Led AI R&D for a Natural Language Understanding platform for unstructured medical data. Key contributions: ontology tagging, NER, topic modeling, summarisation, word disambiguation, question-answering, custom neural search engine using RAG...
Development of a tool that uses Data Analysis, Clustering, Topic Modelling and other NLP algorithms on problem descriptions from ticketing systems to improve ticket resolution.
Development of NLP tagging service to infer people's skills and interests for an employee selection tool.
Development of an end-to-end image validation system of lottery tickets using Deep Learning at scale on Google Cloud Platform, Android and IOS.
Author of a paper on overcoming data scarcity using Variational Auto-Encoders, presented at CIARP 2018.
Authored a review paper on Spiking Neural Networks, simulating them using Nengo library with different approaches.