Services

Cloud & DevOps Infrastructure

Build reliable, scalable infrastructure that gets out of your team's way. I design CI/CD pipelines, implement Infrastructure as Code, and establish production operations practices that let engineers focus on shipping products instead of fighting deployment problems.

Key areas:

• CI/CD pipelines & GitOps for fast, auditable & secure deployments.
• Infrastructure as Code using Terraform, AWS CDK, and CloudFormation
• Cloud architecture in AWS, Azure, and GCP—native and hybrid solutions for security, scalability, and cost optimization
• Production monitoring, incident response, and reliability practices
• Container orchestration with Kubernetes, AWS ECS, Step Functions etc.

IT Strategy & Technical Roadmaps

Align your infrastructure investments with business objectives. I help organizations plan cloud adoption, modernize legacy systems, and build technical capability that scales with growth.

Key areas:

• Cloud adoption and migration strategy
• Technical due diligence for infrastructure investments
• Modernization pathways for legacy systems
• Infrastructure capacity planning and cost modeling
• Security and compliance framework development

AI/ML Infrastructure & MLOps

Production AI requires more than training models. It needs robust infrastructure for data pipelines, model versioning, deployment automation, and monitoring at scale. I build MLOps platforms that support the full lifecycle from experimentation to production.

Key areas:

• Scalable training infrastructure with GPU orchestration and cost optimization
• Model versioning, experiment tracking, and artifact management
• Automated deployment pipelines for models (CI/CD for ML)
• MLOps platform setup using tools like MLflow, Kubeflow, or SageMaker

Software Systems Design & Development

Design and build custom solutions for integration challenges, data workflows, and domain-specific tooling. I work with teams to prototype systems, architect scalable applications, and develop tools that bridge gaps in your technical stack.

Key areas:

• Custom integration solutions and API development
• Data pipeline architecture and workflow automation
• Scientific computing and high-performance computing workflows
• Prototyping and proof-of-concept development
• Technical advisory for software architecture decisions

Domain Expertise

Financial Services & Retail: Regulatory compliance, high-availability systems, transaction processing infrastructure.

Biotechnology & Research: Molecular modeling workflows, scientific data pipelines, computational chemistry infrastructure, compliance in regulated research environments.

SaaS & Startups: Rapid scaling, cost-effective infrastructure, developer productivity tools.