Consultant

Mobile, cloud and big data technologies.
Continuous integration process automation.

Migration to modern Red Hat Linux private cloud solution using RHEL, Open Shift, Docker, Kubernetes.

Evolution of the legacy implementation towards the new generation of IT infrastructure using Red Hat on premise cluster platform.
Focus is on security and modern modular IT approach using Docker and application container orchestration via Kubernetes to provide IT services on demand.
CI/CD platform for Docker development, integration and deployment.
Docker build farm and Openshift deployment.

Regulated environment.

Data warehouse for analytics
- Master data management
- Data integration
- Multi-dimensional data distribution
- OLAP support for R analytics
- Row & Column wise data processing

Big Data Analytics Systems
- data analytics tools (R, RStudio, Revolution R/Microsoft)
- data distribution systems for science ready data(column-wise data stores, SAP HANA, SciDB)
- scientific data processing pipelines
- scientific data processing workflows

High throughput screening data integration (HTS)
- MDCS database
- Molecular Devices, Olympus, Leica (vendor C++ APIs)
- Openmicroscopy / Bioformats Java API

High throughput data processing platform
- full stack based on Python, Mongo, Node.js
- scalable processing with tunable parallel execution back-end

Health Science Data
- clinical trials data
- multi-omics data
- ODM, CDASH, CDISC

Laboratory Management Information Systems (LIMS)
- CLARITY(Illumina/Genologics), SLIMS(Genohm), iRODS(RENCI)
- Systems Integration

Engagement Management with United Nations
Java & Open Source team management
Established the best practices for the off-shore project management

Technology creator and architect of the global highly scalable computing for nuclear research