Elena Khaustova

Principal Machine Learning Engineer @ QuantumBlack, AI by McKinsey

About

Machine Learning & Software Engineer | NLP | Computer Vision | AI & ML Solutions ML/software engineer with expertise in NLP, computer vision, and AI, currently contributing to Kedro 🔶, an open-source framework for applying software engineering best practices to ML pipelines. Experienced in building ML components, chatbots, and automation solutions. 🎤 Speaker at IT conferences: - Managing Risks in Generative AI: Implementing Guardrails for Trustworthy Content – PyLadies 2024, London, UK - DialoGPT for Dialogue Generation: Another Way to Use NLP Datasets – AI Journey 2020, Moscow, Russia 🎓 Graduated with honors (A-grade student).

Country

United Kingdom

City

London

Industry

Program Development

Skill

Artificial Intelligence (AI), Redis, spaCy, Docker, Deep Learning, Python (Programming Language), Python, Data Science, Machine Learning, Computer Vision, Natural Language Processing (NLP), Git, Ubuntu, Linux, GitFlow, Bitbucket, Gitlab, TensorFlow, Keras, PyTorch

Experience

Principal Machine Learning Engineer

QuantumBlack, AI by McKinsey

2025-12 - Present · 10 mos

Greater London, England, United Kingdom

Senior Machine Learning Engineer

QuantumBlack, AI by McKinsey

2022-9 - 2025-12 · 3 yrs 4 mos

London, England, United Kingdom

Leading the development of core Kedro components, improving UX through documentation, research and support. Building AI solutions: RAG-based chatbot and GenAI Guardrails for risk mitigation. Developing personalization pipelines and automating ML-driven marketing campaigns. Designing reusable ML components to accelerate solution delivery.

Senior Machine Learning Engineer

MWS AI

2020-4 - 2022-3 · 2 yrs

Московская область, Россия

Led the development of the NLU component for a chatbot platform. Developed and optimized intent classifiers with BERT-like models, including pre-training, fine-tuning, distillation, and handling imbalanced datasets. Designed and developed NLP solutions: data crawlers, text deduplication algorithms, dataset quality ranking models, and message wording replacement systems.

Software Developer

Rubius

2018-4 - 2020-2 · 1 yr 11 mos

Tomsk, Russia

Developed algorithms and software for ML-based solutions in speech synthesis, facial expression generation, and object detection. Built video analytics pipelines for surveillance and industrial process optimization. Created ML models for object recognition in video streams. Authored technical reports and documentation.