Machine Learning Engineer & Technical Lead | LLM/RAG & Document Intelligence | Scientific ML & Medical Imaging
I build production ML/AI systems that turn complex documents, domain data, and research methods into testable, traceable software. My current focus is LLM/RAG architecture, agentic workflows, MCP integrations, evaluation, and reliability, with research-to-production depth in scientific ML and medical imaging.
| Project | Role in the portfolio | Verifiable evidence |
|---|---|---|
| Yandex Workspace MCP | Open-source integration engineering | Offline permission demo, typed tools, permission gates, audit logging, CI, Docker and deployment docs |
| Tensor-Based Modal Decomposition | Scientific ML and research software | Tucker/HOSVD, sparse sensing, tests, captured synthetic run, explicit manuscript-reproduction limits, arXiv preprint |
| LLM Adviser case study | Architecture and technical leadership | Sanitized production case study covering traceability, evaluation, async execution, reliability boundaries, and documented limitations |
For code review, start with MCP; for scientific methods, start with TBMD; for team and architecture scope, read the LLM Adviser case study. Full experience and contact: LinkedIn.
Additional domain evidence: EPIFAT, officially registered cardiac CT segmentation software (No. 2025610317), with an automated segmentation and manual ROI-correction workflow; related medical-imaging code remains private.
Merged upstream (verified 9 September 2026):
- dragonflydb/dragonfly #8199 — fixed
FT.INFOmissing-index wording for RedisVL compatibility, with a regression test; merged 1 September 2026. - wandb/rai-toolkit #24 — added an HR industry preset, dataset selection, documentation, and focused tests; merged 2 September 2026.
- IBM/docling-pipelines #31 — made example-test dry runs offline and side-effect free by returning before prerequisite probes; added regression and control tests; merged 9 September 2026.
Submitted for review: PageIndex plain-text indexing and Weaviate generative integration. Each PR page records its current status and scope.
- Machine Learning Engineer / Technical Lead, Analytics and Machine Learning Department, MSUU (
Apr 2024 – Present) — architecture and delivery across CourseLLM, Modular RAG Platform, and LLM Adviser; coordinating a five-engineer team. - Data Scientist / Research ML Engineer, Heriot-Watt TPU Center (
Sep 2024 – Present) — Bayesian parameter-space appraisal, tensor-based reduced-order modeling, and QR sparse-sensor placement. - Machine Learning Engineer, Cardiology Research Institute (
Mar 2021 – May 2026) — EPIFAT cardiac CT segmentation software and medical-imaging research workflows.
Full role scope and employment details: LinkedIn.
- arXiv:2607.09687 — Tensor-Based Modal Decomposition and Sparse Sensor Placement for the Brugge Field Simulation Model.
- Digital Diagnostics — cardiac MRI radiomics research.
- ORCID — complete research identity and publication record.
- Google Scholar — publication and citation profile.
Open to Machine Learning Engineer, Applied AI Engineer, and Technical Lead opportunities, as well as research and open-source collaboration.