Designing Data & AI Solutions
I design architectures and solutions that solve simple and complex problems with product-led framing to ensure they provide positive ROI and high leverage to businesses using state of the art technology and frameworks.
Principal Data & AI Engineer
Data & AI that swiftly and safely grows your business
I design, build and operate Data & AI systems that cut cost, grow revenue and neutralize compliance risk. Deep specialty in Pharma and Life Sciences.
Capabilities
Where I add value
Building & Operating Data & AI Products
For both new and existing solutions, I develop, fix, tune performance, reduce costs, deploy and operate everything from data pipelines and RAG systems to MLOps/DataOps and Analytics platforms. Focusing on delivering reliable, scalable and maintainable systems.
Compliance & Governance
I ensure systems are audit-ready by embedding governance policies, metadata and access controls with automated enforcement and full lineage, so they stay aligned with regulations like GDPR, GxP and HIPAA while lowering legal risk and compliance overhead.
Approach
How I work
I follow a systematic approach:
🧭 Discovery: Understanding the problem scope, the pain points and what success looks like.
🏗️ Solution Design: Architecting a solution that fits the existing stack, processes, team, and compliance requirements.
⚙️ Implementation: Building production-grade solutions with proper testing, documentation, and compliance evidence when needed.
🔄 Iteration & Optimization: Refining the solution based on feedback and results, staying focused on the outcomes.
About
About me
I am a Principal Data & AI Engineer specialized in the pharma and life sciences industries. I deliver end-to-end, production-ready and compliant Data & AI solutions by designing, building and overseeing architectures, pipelines, CI/CD, data modeling, data quality, orchestration, reporting, governance and infrastructure. With over 10+ years across pharma, energy and tech, I have helped businesses automate processes, increase revenue and reduce cost and risk through data and technology.
Tech Stack: Python, SQL, Azure, AWS, Databricks, Snowflake, Postgres, Terraform, Docker, dbt, Airflow, Kafka, MLflow, LangChain, RAG, Soda, Power BI, GitHub Actions, Azure DevOps, Claude Code
Work
Portfolio
Pharmaceutical
GxP Data & AI Platform
Led, designed and implemented a cloud based, GxP compliant, Analytics & AI platform
- Azure
- Databricks
- Python
- SQL
Pharmaceutical
Scientific & GxP AI Knowledge Assistant
Built an Enterprise RAG assistant unifying PubMed, Veeva Vault QualityDocs, QUMAS and SharePoint into a single Q&A interface for scientific and regulatory teams.
- Azure AI Search
- Azure AI Foundry
- Databricks
- Python
- Docker
Life Sciences
Cloud Data Platform Migration
Migrated a life sciences client's on-premises SQL Server data warehouse to a cloud-native stack on AWS, Snowflake, Airflow and dbt.
- AWS
- Snowflake
- dbt
- Airflow
- Python
Are your Data and AI systems, or the lack of them, holding your true business value hostage?
Book 30 minutes. Tell me where you are. I'll tell you what I'd do.