About

Hi there! My name's Queby.

I'm not a big fan of writing stuff about myself so if I sent you a link to this portfolio, I must really want to join whatever program/organization/company you're part of.

Anyways, here's a short bio:

Nathanya Queby Satriani (*2001) is an AI engineer and computational neuroscience enthusiast from Indonesia currently based in Linz, Austria. She has been applying machine learning & deep learning techniques in the realms of computer vision, earth observation, and natural language processing in various projects, winning 1st prize at the 2021 National Hackathon & Collaboraction as well as Siemens' WomenHackAI 2022. Her focus lies in dissecting the line between biological and artificial neural networks, as well as becoming the best breadwinner in the family.

Hi there! My name's Queby.

I'm not a big fan of writing stuff about myself so if I sent you a link to this portfolio, I must really want to join whatever program/organization/company you're part of.

Anyways, here's a short bio:

Nathanya Queby Satriani (*2001) is an AI engineer and computational neuroscience enthusiast from Indonesia currently based in Linz, Austria. She has been applying machine learning & deep learning techniques in the realms of computer vision, earth observation, and natural language processing in various projects, winning 1st prize at the 2021 National Hackathon & Collaboraction as well as Siemens' WomenHackAI 2022. Her focus lies in dissecting the line between biological and artificial neural networks, as well as becoming the best breadwinner in the family.

Hi there! My name's Queby.

I'm not a big fan of writing stuff about myself so if I sent you a link to this portfolio, I must really want to join whatever program/organization/company you're part of.

Anyways, here's a short bio:

Nathanya Queby Satriani (*2001) is an AI engineer and computational neuroscience enthusiast from Indonesia currently based in Linz, Austria. She has been applying machine learning & deep learning techniques in the realms of computer vision, earth observation, and natural language processing in various projects, winning 1st prize at the 2021 National Hackathon & Collaboraction as well as Siemens' WomenHackAI 2022. Her focus lies in dissecting the line between biological and artificial neural networks, as well as becoming the best breadwinner in the family.