With more than a decade in IT consulting, I build AI/ML systems, design MLOps platforms, and deliver data-driven solutions across healthcare, biotech, finance, banking, insurance, and retail. I’m currently pursuing an MSc in Bioinformatics & Biostatistics and Biomedical Engineering, applying advanced analytics and ML to biomedical and clinical data.
- Genomics & transcriptomics analysis
- Data engineering pipelines for biological datasets
- Clinical and biomedical data modelling
- Healthcare AI: prediction, NLP on EHRs, diagnosis support
- Medical imaging (MRI/CT/X-ray analysis)
- Integration of AI into hospital, biotech, pharmaceutical workflows
- Computational biology tools development
- Machine Learning & AI solutions for real-world environments
- MLOps: CI/CD for models, experiment tracking, model serving
- Cloud engineering on AWS, GCP, Azure, also on Databricks
- Applied AI projects in healthtech, biotech, MedTech, pharma
- Research and academic work for my MSc thesis
- Teaching and mentoring in AI, data engineering, and cloud
- 🤝 Open to collaboration in AI for healthcare, bioinformatics pipelines, biomedical engineering, generative AI, and cloud-native ML
- 🧪 Interested in research, documentation, Proof of Concepts, and exploratory investigations
- 🏥 Passionate about AI for precision medicine and digital health
- ML & MLOps: Kubeflow, MLflow, FastAPI, CI/CD
- Bioinformatics: data prep, analysis pipelines, tool building
- Biostatistics & health data analytics
- Cloud platforms: AWS, Azure, GCP
- Python, R, Spark, Big Data
- NLP, OCR, Time series forecasting
- Visualization & digital analytics
ML / AI: Python, PyTorch, TensorFlow, Scikit-learn, XGBoost Bioinformatics: Biopython, Galaxy, R (tidyverse, Bioconductor), Bash, Nextflow/Snakemake Cloud & MLOps: Docker, Kubernetes, Terraform, MLflow, Kubeflow, Airflow, S3, Kafka Data Engineering: Spark, SQL, Delta Lake
- 🌐 Website: marcusrb.com
- 🔗 LinkedIn: linkedin.com/in/marcusrb
Proud father of two, guitarist 🤟, road-biker 🚲, home cook 🍕 , teacher, and lifelong learner balancing tech with creativity and science.