- Publications: Multiple papers accepted by AACL-IJCNLP-22, NAACL-HLT-22, ACL-22, TACL, AAAI-22, EMNLP 2021, etc.
- Project Involvement: Participated in several projects related to stance detection, cross-lingual question answering, etc.
- Awards: First place in Task 2B of the CLEF-2021 CheckThat! competition as part of Team DIPS
Research Experience
- Applied Scientist at Amazon AWS AI Labs
- Research Scientist at Checkstep Research, working on NLP for content moderation
- Machine Learning Engineer at ReceiptBank (now Dext), building NLP models for automatic field information extraction from unstructured payment documents
- Machine Learning Engineer at Adcash OÜ, developing distributed and scalable models for ad recommendations
- Full-stack Software Engineer and Team Lead at Acstre, creating and maintaining desktop and web applications
Education
- Ph.D. Candidate in Natural Language Processing, 2017-2023 (Expected), Sofia University “St. Kliment Ohridski”, Sofia, Bulgaria
- MSc in Information Retrieval and Knowledge Discovery, 2014-2016, Sofia University “St. Kliment Ohridski”
- BEng in Computer Systems and Technologies, 2010-2014, Technical University-Sofia
Background
- Research Interests: Question answering, conversational agents, patterns-based few-shot learning, distant supervision, cross-lingual and cross-domain transfer
- Professional Field: Natural Language Processing (NLP)
- Brief Introduction: Strong software engineering background with extensive experience in developing production systems.
Miscellany
- Interests: Natural Language Processing, Few-Shot Learning, Semi-Supervised Learning, Multilingual Learning, Stance Detection, Abusive Language Detection, Question Answering, Conversational Agents