Masha Tsfasman

AI Research Engineer at Lovemind AI

About

I'm a data scientist and AI researcher by day and a ceramics artist and teacher by night.

I help businesses with everything from LLM research & building ML pipelines to optimising internal business workflows with AI tools.

Experience

  • AI Research EngineerLovemind AI
    Jan 2026 – present
    • Developing vision-language model frameworks integrating AI with psychological theory
    • Designing psychometric prompting methods for LLMs
    • Building research pipelines processing conversation transcripts and behavioral ratings
  • AI & UX Data AnalystGoodUp
    Sep – Oct 2025
    • Transformed CRM workflows with Gen AI tools for 5000+ marketing leads quarterly
    • Decreased team workload by 25% through Gen AI solutions
    • Improved customer dashboards in Looker (SQL)
  • Data & AI ConsultantSignOnSpot
    Jan – Jul 2025
    • Prototyped multimodal AI feedback using Time-Series Analysis and LLM techniques
    • Drafted GDPR-compliant agreements and privacy statements
  • AI & HCI Researcher (PhD)TU Delft & Hybrid Intelligence Centre
    Sep 2020 – Dec 2024
    • Created 700GB multi-modal time-series dataset
    • Performed statistical analysis using Python, R, SQL
    • Developed ML pipelines using NumPy, PyTorch, TensorFlow

Skills

Programming & ToolsPython, SQL, R, MATLAB, Jupyter, Git, Google Cloud, Latex, Databricks, Excel (VBA)

Data ScienceStatistics, Machine Learning, NumPy, Pandas, SciPy, Scikit-Learn, MatPlotLib, statsmodels, PyTorch, Causal inference, Containerization, Parallel computing, Cloud computing (Google Cloud Platform), Feature engineering & selection, Data mining, collection, visualisation & curation, Data ethics (GDPR, AI Act)

LanguagesEnglish (fluent), Russian (C2), French (B2), Italian (B2)

Education

  • Ph.D. Computer Science (AI & HCI)Delft University of Technology · 2020–2025
  • M.Sc. Artificial Intelligence, with DistinctionRadboud University · 2018–2020
  • B.Sc. Computational Linguistics (NLP)National Research Institute HSE, Moscow · 2014–2018

Awards

  • TAILOR connectivity grant awardeeUniversity of Cambridge · 2023
  • Outstanding Early Career Scientist PaperIEEE Ro-Man · 2022
  • Disciplinary Honours awardee, IRCNUTokyo / Radboud University · 2020