Open to opportunities

Adelia Khasanova

@adeliakhasanova

Message

Machine Learning & NLP Engineer with a passion for AI.

France

Message

What I'm looking for

I am looking for a role that fosters innovation and collaboration, allowing me to apply my skills in AI and NLP while contributing to impactful projects.

I am a Machine Learning & NLP Engineer with a strong foundation in both research and industry applications. My dual MSc in Natural Language Processing and Computational Linguistics from France and Germany has equipped me with the skills to bridge the gap between theoretical research and practical AI solutions. I thrive in collaborative environments, having worked cross-functionally with engineers, scientists, and non-technical experts across multiple countries and languages.

Currently, I am contributing to Inca.Digital as an NLP Engineer, where I developed a Retrieval-Augmented Generation (RAG) system to automate financial risk reporting. This project has significantly enhanced the detection of anomalies in cryptocurrency market changes. My previous experience includes a Machine Learning Internship at Qwant, where I fine-tuned transformer-based models for search ranking and led innovative projects to improve search results. I am passionate about leveraging AI to solve real-world problems and continuously seek opportunities to expand my expertise in this dynamic field.

Experience

Work history, roles, and key accomplishments

Current

NLP Engineer

Current

Inca.Digital

Sep 2023 - Present (1 year 8 months)

Developed a Retrieval-Augmented Generation (RAG) system to automate financial risk reporting, enhancing detection of anomalies in cryptocurrency market changes. Implemented API-based web scraping to gather external financial data, integrating it into a scalable Pinecone vector database for real-time fraud analysis and risk assessment.

Python Pinecone Web Scraping Fraud Analysis Data Integration Anomaly Detection Vector Databases Financial Reporting

Machine Learning Intern

Qwant

Mar 2023 - Oct 2023 (7 months)

Replicated a scientific paper on search ranking optimization under Sorbonne professors’ supervision. Fine-tuned transformer-based encoder models for search ranking and designed new HTML-based pre-training tasks to improve retrieval relevance and ranking accuracy.

HTML Pre Training Search Relevance Ranking Accuracy

Machine Learning Researcher

ATILF - CNRS

Jul 2022 - Dec 2022 (5 months)

Built a pipeline that recognized named entities in colloquial descriptions of medical symptoms and assigned them medical codes through classification and ranking. Developed an ontology of medical codes, improving the accuracy and structure of the data.

Named Entity Recognition Medical Coding Classification GraphGAN Pipeline Development

Education

Degrees, certifications, and relevant coursework

University of Saarland

Master of Science, Computational Linguistics

2022 - 2024

Engaged in a Master of Science program in Computational Linguistics, focusing on the intersection of language and computational methods. Developed skills in linguistic analysis and machine learning applications.

University of Lorraine

Master of Science, Natural Language Processing

2021 - 2024

Grade: With Honors

Pursued a Master of Science in Natural Language Processing with a focus on advanced techniques in NLP and AI. Graduated with honors, demonstrating a strong understanding of the field and its applications.