Staff ML Engineer | Knowledge Graphs & Relational Inference | Generative Biology (scGPT, Geneformer) | Proteomics & MTL...
- Verfügbarkeit einsehen
- 0 Referenzen
- auf Anfrage
- 31444 Kraków
- auf Anfrage
- pl | en | fr | it | de
- 25.06.2026
Kurzvorstellung
Qualifikationen
Projekt‐ & Berufserfahrung
1/2026 – offen
TätigkeitsbeschreibungArchitected and deployed an enterprise Retrieval-Augmented Generation (RAG) system to eliminate information silos across cross-functional clinical program teams. Developed high-throughput document processing pipelines to ingest, parse, and chunk heterogeneous unstructured files (PDFs, PPTXs, DOCXs). Enabled secure, context-aware semantic search and document synthesis, drastically reducing the time required for teams to extract insights from complex clinical documentation.
Eingesetzte QualifikationenData Science, Softwareentwickler, Machine Learning
12/2024 – 12/2025
TätigkeitsbeschreibungBuilt a robust, automated benchmarking framework to systematically compare and evaluate the performance of state-of-the-art biological foundation models. Evaluated architectures across diverse single-cell RNA-seq and spatial transcriptomics datasets, providing the engineering team with data-driven insights into model accuracy, training efficiency, and zero-shot capabilities.
Eingesetzte QualifikationenBiologie, Data Science, Machine Learning, MLOps
7/2024 – 9/2024
TätigkeitsbeschreibungEngineered autonomous LLM agent architectures to solve a major operational bottleneck: automating high-throughput metadata dataset annotations. Built custom reasoning loops and RAG patterns that cut manual data curation overhead significantly while maintaining strict accuracy guardrails.
Eingesetzte QualifikationenData Science, Machine Learning, MLOps, Softwareentwickler
7/2023 – 12/2024
TätigkeitsbeschreibungArchitected and scaled Multi-Task Learning (MTL) models optimized for high-dimensional proteomics datasets. Engineered the pipeline to ingest and process UK Biobank Proteomics Project (UKBPPP) data, training models capable of simultaneously predicting multiple phenotypes and complex biological traits with high accuracy and give biological insights via explainability layer and embeddings.
Eingesetzte QualifikationenBiologie, Data Science, Distributed Computing, Machine Learning, MLOps, Pytorch
9/2021 – 12/2022
TätigkeitsbeschreibungDesigned and deployed a full-lifecycle Graph Machine Learning pipeline for target identification. Developed a link prediction architecture to uncover hidden biological relationships, which successfully moved from computational inference to wet-lab validation. Led the entire MLOps lifecycle from raw graph data ingestion to production deployment.
Eingesetzte QualifikationenDeeplearning4j, Google Cloud, Kubernetes, Large Language Models
Zertifikate
Google Cloud
Ausbildung
Krakau
Genf
Krakau
Septentrio (Leuven)
Über mich
Persönliche Daten
- Polnisch (Muttersprache)
- Englisch (Fließend)
- Französisch (Gut)
- Italienisch (Gut)
- Deutsch (Grundkenntnisse)
- Europäische Union
Kontaktdaten
Nur registrierte PREMIUM-Mitglieder von freelance.de können Kontaktdaten einsehen.
Jetzt Mitglied werden
