I’m a Software Engineer focused on backend systems, cloud infrastructure, and applied AI, with hands-on experience building and operating production-grade services on AWS.

My work sits at the intersection of backend engineering and cloud-native system design — writing Python and Go services, deploying them to Kubernetes and serverless runtimes, and using infrastructure-as-code and CI/CD to ensure systems are secure, observable, and reliable in production.

Alongside core backend work, I build applied AI systems using LangGraph, designing agents and workflows that integrate cleanly into existing architectures and behave predictably beyond demo environments.

• Backend & Cloud Systems
  Python/Go microservices, AWS Lambda, API Gateway, SQS, IAM, VPC fundamentals, Aurora & DynamoDB

• Kubernetes & Runtime Infrastructure
  EKS workloads, IRSA, scaling patterns, Helm-based deployments

• Infrastructure as Code
  Terraform modules, CloudFormation, repeatable environment provisioning

• CI/CD & Production Operations
  GitHub Actions, container pipelines, structured logging, observability, failure-aware design

• Applied AI
  LangGraph agents, retrieval and memory patterns, multi-tool workflows, production deployment strategies

I care about systems that work in the real world — clear architecture, predictable behaviour under load, and AI capabilities that are thoughtfully integrated into backend services rather than bolted on.

Languages:

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Infrastructure as code:

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CICD:

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Database: