I will plan, build, and deploy a custom enterprise application

K
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K
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Kai Balciunas

About this gig

Building on AWS is easy to start and expensive to fix if the foundation is wrong. Poor tenant isolation, missing observability, and manually configured resources compound over time and become harder to correct as your product grows.


This gig covers production-grade AWS infrastructure built correctly from the start. VPC with proper subnet segmentation, API Gateway with JWT authentication, serverless compute, relational and NoSQL data layers, KMS encryption, least-privilege IAM, and CloudWatch observability. Everything is provisioned in Terraform so deployments are repeatable and environments stay consistent.


For multi-tenant platforms, data isolation is enforced at every layer from the authentication token down to the database query.


Delivery includes complete architecture documentation and a CI/CD pipeline across development, staging, and production. The infrastructure is yours on day one, built to be maintained without deep AWS expertise.


AWS certifications held: Solutions Architect, Machine Learning Engineer, Developer, AI Practitioner, and Terraform Associate.

Get to know Kai Balciunas

Kai Balciunas

AI Engineer

  • FromUnited States
  • Member sinceJun 2026
  • Avg. response time1 hour
  • Languages

    English, Spanish, Lithuanian
AWS certified AI Engineer and Cloud Architect with extensive experience in implementing cloud infrastructure and shipping production-grade ML & AI solutions within AWS. I specialize in building enterprise RAG workflows, fine-tuning LLMs, and deploying scalable serverless ML applications using Terraform and Python. I currently specialize in AI & ML product development for the legal industry and have a proven track record of delivering automated legal intelligence and high-performance data platforms. Working so closely with this heavily regulated industry makes me equipped to handle any project.

My Portfolio