
Maria Zorkaltseva
Machine Learning Engineer · Paris, France
14+ years of experience in applied AI across healthcare, cybersecurity, IoT/RF sensing. I design and deploy end-to-end ML systems - from research prototyping to production at scale. Author of 19 peer-reviewed publications.
🧩 Current R&D & Projects
- LLM Engineering - Fine-tuning with LoRA/QLoRA, RAG, LangGraph agent orchestration, MCP integrations
- Wi-Fi CSI / RF Sensing - Activity recognition and indoor localization
- Medical Imaging - WSI pathology pipelines: segmentation, tiling, RLE encoding, UNet architectures
- Physics-Informed ML - PINNs for biomechanical modeling, Koopman operator + Transformer hybrids
- Data Engineering - Streaming pipelines, BigQuery, dbt, Kestra, dlt
🔬 Research & Industry Interests
- Edge AI & IoT: on-edge intelligence, distributed IoT systems, sensor-driven applications
- HealthTech & BioTech: histology, radiology, medical imaging, AI for personalized medicine, drug discovery and investigation, multimodal biological data
- Multi-Omics & Computational Biology: integrating genomics, transcriptomics, proteomics, and other biological signals
- Cybersecurity: fraud detection, account takeover prevention, malware detection, adversarial ML
- LegalTech: NLP for legal documents, semantic search, knowledge extraction
- Quantitative Engineering: time series modeling, optimization, stochastic calculus, derivative pricing models, portfolio optimization
- Chess: Stockfish's heuristics, AlphaZero’s neural networks, analytics and AI chess coaching
My Interests
Top Publications
Selected from 19 scientific papers. Full list on Google Scholar.
Russian Physics Journal · 2017
Review of Scientific Instruments · 2014
Certifications
INFOSEC / Coursera · 2021
6-course specialization covering Python for cybersecurity, including scripting, automation, and security tools development.
DeepLearning.AI · 2021
4-course specialization covering ML production, MLOps, CI/CD for ML, and model monitoring.
Google / Coursera · 2020
6-course specialization covering GCP data engineering, BigQuery, Dataflow, and ML on GCP.
IBM / Coursera · 2020
6-course specialization: ML with Python, Spark, Keras, PyTorch, TensorFlow, and a capstone project.
Samsung R&D / Stepik · 2019
CNNs with PyTorch, challenging math problems, and a Kaggle final assignment.
HSE & Yandex / Coursera · 2018
Rigorous ML course requiring strong mathematical background, by HSE and Yandex School of Data Analysis.
Stanford University / Coursera · 2017
The classic Andrew Ng course — all standard ML methods, neural networks, recommender systems.