Hi there 👋
- 🔠I’m currently working as a AI Technical Strategy Lead | Senior Principal Software Engineer @ Red Hat on Search Relevance, Language Understanding and Ranking.
- 🌱 I’m currently learning Deep Learning as a fast.ai international fellow.
Links
Talks
- Using Intent Data to Optimize the Self-Solve Experience Youtube- How Red Hat uses intent data to automate and improve workflow efficiency for support personnel and contact centers - Activate, Virtual Search & AI Conference - 2020
- Empowering Customers to Self Solve: A Findability Journey - Activate 2018 - Evolution of different search techniques in our Solution Engine and the customers’ search journey.
Papers
- Paper - HASOC 2020 conference describes our team's approach to the solution submitted using Bert Fine-tuning for the Identification of Hate Speech and Offensive Language in Indo-European Languages.
- Abstract: This article describes our team Chrestotes’ approach to the solution submitted to HASOC 2020: Hate Speech and Offensive Content Identification in Indo- European Languages. We demonstrate an end to end solution to the fine-grained detection of hate speech in tweets. Our solution is focused on the English Task which has been split into two subtasks. Our model achieved macro-average f1- scores of 0.4969 and 0.2652 on the subtasks A and B respectively. This solution places us in the middle of the leaderboard for subtask A and first place for subtask B.
Certifications
- International Fellowship to attend fastai - Deep Learning for Coders course 2022 | 2020
- Search with Machine Learning - Co:rise March 2022
- Full Stack Deep Learning - Spring 2021 - fastclean : Experiments to find incorrect labels in the dataset and noisy training
- [Coursera] Machine Learning Foundations: A Case Study Approach - Jan 2016
- [Coursera] Cloud Computing Applications - Oct 2015
- [Coursera] Functional Programming Principles in Scale - Jun 2014