I help startups and businesses build secure, scalable cloud infrastructure on AWS and integrate modern AI capabilities into their products.
Whether you're migrating to AWS, modernizing an existing platform, deploying Kubernetes, reducing cloud costs, or adding AI features to your application, I can help you design, build, and operate production-ready systems.
I have over 8 years of hands-on experience with AWS, DevOps, and cloud architecture. More recently, I've been helping clients build AI-powered applications using Amazon Bedrock, OpenAI, Anthropic, Gemini, Groq, and local AI models. My focus isn't on training AI models—it's on building the infrastructure, integrations, and automation that allow businesses to use AI reliably, securely, and cost effectively.
I work directly with clients from architecture to implementation, whether it's a quick troubleshooting session or a long-term infrastructure project.
Lam N. earns an estimated $15k/mo. That's 10.2× the typical freelancer and more than 99.96% of everyone we track.
Experience working with many AWS services, including:
EC2, ECS, EKS, Lambda, API Gateway, CloudFront, S3, RDS, Aurora, DynamoDB, ElastiCache, Route 53, VPC, IAM, Organizations, Control Tower, Systems Manager, Secrets Manager, Cognito, OpenSearch, EventBridge, Step Functions, SNS, SQS, KMS, CloudTrail, Config, GuardDuty, Security Hub, WAF, ACM, Elastic Load Balancer, Auto Scaling, CloudWatch, CodePipeline, CodeBuild, CodeDeploy, ECR, AWS Backup, and more.
If you're looking for someone who can bridge AWS infrastructure, DevOps, and modern AI technologies, I'd be happy to discuss your project. Whether you need a quick fix, architecture guidance, or someone to build a production-ready solution from the ground up, feel free to reach out.