Solutions Architect · AI & DevOps Consultant · Fractional CTO
I help engineering teams design, build, and modernize cloud systems — and integrate AI that ships to production.
See My Work
I’m Ivan Prlić, founder of Prlić Consulting. I work with engineering teams and technical leaders to design cloud platforms, integrate AI into products and workflows, and sort out infrastructure that has outgrown its current setup.
Past and current clients include the European Commission, Volvo USA, TUI Group, Talkdesk, and Ricoh. Based in Zagreb, Croatia.
AWS · GCP · Azure · Kubernetes · Terraform · Amazon Bedrock · SageMaker · Vertex AI · Kafka · Datadog
English (C2, Cambridge Certified) · Croatian (Native)
I build AI systems that go into production: RAG-based knowledge bases on Amazon Bedrock, computer vision pipelines on SageMaker, and ML workflows on Vertex AI. Recent projects include an LLM-powered legal document search system and a computer vision platform migration to AWS. AWS Certified Machine Learning Specialty, GCP Professional ML Engineer and Data Engineer certified.
Architecture design across AWS, GCP, and Azure — serverless, microservices, Kubernetes (EKS, GKE), event-driven systems with Kafka and SQS/SNS, and API management with Apigee and WSO2. I apply Domain-Driven Design to decompose legacy monoliths into maintainable, independently deployable services. Delivered for enterprises in automotive, travel, retail, and public sector.
Full-cycle migrations from on-prem to AWS and GCP. Past work includes a Magento 2 platform to Kubernetes on EKS, healthcare systems, and computer vision workloads. I handle architecture, risk planning, FinOps (rightsizing, reserved instances, cost dashboards), and delivery.
Infrastructure as code with Terraform and Ansible, containers with Docker and Kubernetes, monitoring with Datadog and Prometheus. Security covered: AWS WAF, Shield, IAM, and Secrets Manager. CI/CD pipelines across GitLab, GitHub Actions, BitBucket, and Azure DevOps — from simple build pipelines to multi-environment GitOps workflows with ArgoCD. Good for teams that need DevOps capacity without the cost of a full-time hire.
Serverless system design and implementation using AWS Lambda, API Gateway, Step Functions, and the Serverless Framework. I have built serverless backends for a healthcare startup (acquired by Carbon Health), a loyalty card platform, and a litigation support system. AWS SAM and serverless.com experience included.
As an AWS Authorized Instructor I deliver official AWS courses, including Machine Learning Specialty content. I also run cloud architecture workshops and technical upskilling sessions for enterprise engineering teams, adapted to the team’s current skill level and the tech stack they work with.
Architecture reviews, technology selection, team structure, or strategic technical direction. I’ve advised startups, FinTech platforms, a VR education platform for INSEAD Business School, and enterprise engineering teams. Available for ongoing advisory or one-off architecture reviews.
Technical leadership for companies that need a senior engineering voice without a full-time hire. I work with founders and leadership teams to set technical direction, make architecture decisions, evaluate build vs. buy trade-offs, and structure engineering teams for growth. Available for ongoing retainers and critical project phases.
A healthcare startup needed a cloud backend that could scale with unpredictable load and meet clinical reliability requirements without the overhead of managing servers. Designed a fully serverless architecture on AWS using API Gateway, Lambda, the Serverless Framework, and Kafka for event streaming. The startup was subsequently acquired by Carbon Health.
A legal technology client needed to make large volumes of sensitive documents searchable and summarizable — without sending data to external services. Built a RAG-based knowledge base on Amazon Bedrock. Lawyers query the system in plain language and receive referenced, sourced answers rather than raw search results, all within a private AWS environment.
One of the world's largest travel companies needed a complete cloud native infrastructure foundation built from scratch, production-ready and observable from day one. Delivered the full stack on AWS — ECS, DynamoDB, Lambda, SNS/SQS, ALB, and CloudFront — with Terraform for IaC, GitLab CI/CD, Apigee for API management, and Datadog for monitoring.
A retail client running a Magento 2 platform on ageing infrastructure needed a setup that could scale and was cheaper to run. Migrated to Kubernetes on AWS EKS using Helm for deployments, RDS for the database layer, and S3 for storage. The team went from manual, error-prone deployments to a fully repeatable, environment-consistent process.
Currently available for new projects. Send me an email and I will get back to you. I work remotely across EU and US timezones, on both fixed-scope projects and ongoing retainers.