Irina Krotova

Angestellt, Senior Machine Learning Engineer (NLP), Mobile TeleSystems

Berlin, Deutschland

Über mich

Senior Machine Learning Engineer with a Master’s in Computational Linguistics, holding 2 higher education degrees. 6+ years of programming experience (Python, Machine Learning, Deep Learning, SQL etc.), and 4+ years of experience in NLP, Conversational AI, Generative AI and LegalTech. Co-authored 5+ research papers, including A-level conferences (ACL, LREC, NLDB). Hands-on experience with RNNs, Transformers (GPT, T5, BERT), PyTorch. Areas of professional focus include Fintech, Telecom, Conversational AI. Driven by a deep passion for applying state-of-the-art technology to solve complex challenges in machine learning and language processing. Fluent in English (C1) and German (C2). Currently holding a work permit for Germany.

Fähigkeiten und Kenntnisse

Linux
Machine Learning
Python
SQL
Data Science
AWS
Docker
Artificial intelligence
Deep learning
Data Analysis
Computer Science
Natural Language Processing
Git
ML
Neural Networks
Bot
NumPy
Keras
Python pandas
Flask (web framework)
R programming language

Werdegang

Berufserfahrung von Irina Krotova

  • Bis heute 5 Jahre und 1 Monat, seit Juni 2019

    Senior Machine Learning Engineer (NLP)

    Mobile TeleSystems

    • Solved business problems through deep learning, machine learning. • Trained and fine-tune models for NER and Intent Classifier chat-bot modules for optimal performance, achieved 2x error reduction • Led NLP module development for LegalTech tasks, including NER, Text Classification, Entity Linking, and OCR Errors Detection • Combined academic and industrial research experience developing LLM and other NLU models • Contributed to 5+ research papers published in top conferences such as ACL, LREC, and NLDB

  • 6 Monate, Jan. 2019 - Juni 2019

    Intern Data Scientist (NLP)

    SBER

    • Designed and evaluated machine learning (ML) processes to automate NLP tasks for LegalTech. • Developed an OCR error detection module to improve pipeline performance by filtering out up to 10% of annotated data. • Created a text augmentation module, including NER augmentation, to enhance NER model accuracy and anonymize personal data. • Conduct exploratory data analysis, feature engineering, and data preprocessing.

  • 2 Monate, Juli 2018 - Aug. 2018

    Intern Data Scientist (NLP)

    Garant

    • Developed experimental and analytic plans for machine learning algorithms and data modeling processes. • Implemented semantic clustering and topic modeling techniques for search queries for a legal search engine.

Sprachen

  • Russisch

    Muttersprache

  • Deutsch

    Fließend

  • Englisch

    Fließend

Interessen

AI
Natural Language Processing (NLP)
Machine Learning
Machine Translation
Open Source

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