Maria Zorkaltseva

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

AI in CybersecurityAI in HealthcareComputer VisionMLOpsStart-upsLLM

Certifications

Python for Cybersecurity

INFOSEC / Coursera · 2021

6-course specialization covering Python for cybersecurity, including scripting, automation, and security tools development.

Machine Learning Engineering for Production (MLOps)

DeepLearning.AI · 2021

4-course specialization covering ML production, MLOps, CI/CD for ML, and model monitoring.

Data Engineering with Google Cloud

Google / Coursera · 2020

6-course specialization covering GCP data engineering, BigQuery, Dataflow, and ML on GCP.

IBM AI Engineering Specialization

IBM / Coursera · 2020

6-course specialization: ML with Python, Spark, Keras, PyTorch, TensorFlow, and a capstone project.

Neural Networks and Computer Vision

Samsung R&D / Stepik · 2019

CNNs with PyTorch, challenging math problems, and a Kaggle final assignment.

Introduction to Machine Learning

HSE & Yandex / Coursera · 2018

Rigorous ML course requiring strong mathematical background, by HSE and Yandex School of Data Analysis.

Machine Learning

Stanford University / Coursera · 2017

The classic Andrew Ng course — all standard ML methods, neural networks, recommender systems.