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Hi there, I'm dinos 👋

I am a proud alumnus of the University of Amsterdam where I completed my MSc degree in Artificial Intelligence, with a deep interest in Information Retrieval and Natural Language Processing. I've now embarked on an exciting journey as a full-time Research Engineer at Zeta Alpha, where I'm dedicated to pushing the boundaries of Dense Retrieval methods and enhancing their performance through domain adaptation.

Leveraging my skills and knowledge in Artificial Intelligence, I'm committed to making positive contributions to society. I have a strong passion for the application of AI in search engines, recommender systems, and language understanding technologies. Now, as part of the Zeta Alpha research team, I'm actively engaged in contributing to the advancement of AI development within these realms.

Before my Master's studies, I obtained a BSc degree in Computer Science from the Aristotle University of Thessaloniki, where I specialized in Artificial Intelligence and Data & Web Management. During my time there, I also took a leadership role in the university's ACM Student Chapter (Member since 2018, Chair from 2019-2021), which allowed me to foster collaborations and develop mentorship opportunities within the local tech community.

I have a strong foundation in multiple programming languages, including C/C++, Java, Kotlin, Python and JavaScript, and have experience working with technologies such as Docker, Linux and SQL/NoSQL databases. Lately, I have focused on Machine Learning development, delving into frameworks such as pandas, scikit-learn, PyTorch, Lightning, and 🤗 Transformers.

If you're intrigued by a challenging idea that aligns with my interests, or if you're curious about my work at Zeta Alpha, feel free to reach out!

dinos's Projects

actionheroes icon actionheroes

An initiative to motivate people to participate in acts of volunteering in their cities.

ambig_lfqa icon ambig_lfqa

Model Analysis & Evaluation for Ambiguous Question Answering. Accepted to the Findings of ACL 2023.

betterqa icon betterqa

Redesign for the Study Guide of the Department of Informatics of AUTh

botkt icon botkt

Sample Discord Bot in Kotlin.

coco-dr icon coco-dr

[EMNLP 2022] This is the code repo for our EMNLP‘22 paper "COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning".

condenser icon condenser

EMNLP 2021 - Pre-training architectures for dense retrieval

contriever icon contriever

Contriever: Unsupervised Dense Information Retrieval with Contrastive Learning

covid-wallet icon covid-wallet

A react-native app to save the QR code from your EU Green Pass

crcencoder icon crcencoder

Cyclic Redundancy Check (CRC) algorithm in Kotlin

deejay icon deejay

A Discord Music Bot built on JDA and lavaplayer

deploy-node-app icon deploy-node-app

Deploy your node.js app to Kubernetes with a single command. No config required.

diffmask icon diffmask

PyTorch implementation of DiffMask, based off of nicola-decao/diffmask.

disentangled-retriever icon disentangled-retriever

An easy-to-use python toolkit for flexibly adapting various neural ranking models to any target domain.

dl-for-btc-price-prediction icon dl-for-btc-price-prediction

A Python notebook studying the efficiency of Deep Learning techniques for the task of Bitcoin price movement prediction.

gpl icon gpl

Powerful unsupervised domain adaptation method for dense retrieval. Requires only unlabeled corpus and yields massive improvement: "GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval" https://arxiv.org/abs/2112.07577

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