Senior AI Engineer in NLP at
Welocalize
Welocalize
Paris, France
Olesia Khrapunova
Council Member
Olesia Khrapunova is an accomplished AI/ML engineer and data scientist who has transformed complex business challenges into elegant technical solutions across the translation, beauty tech, and customer experience industries. Currently serving as Senior AI/ML Engineer at Welocalize since June 2024, she leads strategic R&D initiatives that push the boundaries of what's possible with LLMs in the translation industry. Her flagship achievement—an AI-powered linguistic quality assurance system that combines LLMs with RAG technology—revolutionized translation workflows by expanding review coverage from 10% to 100% while improving error detection by 35%, earning the prestigious AI Breakthrough Award 2025 and pending patent status.
Her technical journey through L'Oréal's Beauty Tech Accelerator (2021-2023) showcased her ability to bridge cutting-edge ML research with real-world product development. She architected multiple patent-pending solutions including an NLP-driven skincare recommendation system achieving 0.92 F1 score that reduced recommendation build time 4x, and a Siamese Neural Network-based product matching algorithm with 0.87 recall that unified fragmented customer feedback across global e-commerce platforms. Her work on sustainability trend detection in social media demonstrated her versatility, successfully extending beauty-focused tools to identify emerging environmental conversations and influencers, giving L'Oréal critical lead time to address consumer concerns.
Her technical journey through L'Oréal's Beauty Tech Accelerator (2021-2023) showcased her ability to bridge cutting-edge ML research with real-world product development. She architected multiple patent-pending solutions including an NLP-driven skincare recommendation system achieving 0.92 F1 score that reduced recommendation build time 4x, and a Siamese Neural Network-based product matching algorithm with 0.87 recall that unified fragmented customer feedback across global e-commerce platforms. Her work on sustainability trend detection in social media demonstrated her versatility, successfully extending beauty-focused tools to identify emerging environmental conversations and influencers, giving L'Oréal critical lead time to address consumer concerns.
With dual master's degrees from the University of Chicago (Computer Science, 2024) and ESSEC & CentraleSupélec (Data Science and Business Analytics, 2022—ranked #1 in Europe by QS), Olesia combines rigorous technical expertise with business acumen. Her technology stack spans advanced proficiency in Python, LLMs, PyTorch, and cloud platforms, with specialized experience in RAG systems, vector databases, and MLOps. As a thought leader in applied AI, she has presented at major conferences including Ai4 Las Vegas, AMTA, and various tech meetups, sharing insights on how NLP and computer vision can create products consumers love. Her competitive edge shines through hackathon victories, including first place at the AI Tinkerers and Anthropic AI Agents Hackathon, and finalist positions at OpenAI and Hugging Face events, where she developed innovative AI agents for health optimization and conference planning.
Beginning her career as a Business Consultant at Clarabridge (now Qualtrics), where she delivered NLP-driven insights to Fortune 500 companies, Olesia has consistently demonstrated her ability to translate complex data science into tangible business value, making her a bridge between technical innovation and practical implementation.
Beginning her career as a Business Consultant at Clarabridge (now Qualtrics), where she delivered NLP-driven insights to Fortune 500 companies, Olesia has consistently demonstrated her ability to translate complex data science into tangible business value, making her a bridge between technical innovation and practical implementation.