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Hi, I'm Maksim (Max) Tybar

I'm a Cloud Architect and Software Developer from Seattle, WA ☕

I'm a software engineer and solutions developer with over 3 years of professional experience 💻. I am specializing in designing and building scalable backend applications ☁️. I am AWS Machine Learning Specialty Certified and AWS Certified Solutions Architect Professional 🧠. I possess strong technical software development skills through my work as a Java backend engineer at Perficient as well as soft skills through communicating with C-suite executives and advising on building cloud-centric applications at Amazon Web Services (AWS) 👨🏻‍💻.


  • 🔭 Currently working at Amazon Web Services as a Solutions Architect
  • 🎾 Former NCAA Division I Tennis Player at Oklahoma State University
  • 📇 Speak two languages (Russian and English)
  • 💻 Passionate about code automation, Generative AI and Infrastructure as Code (AWS CDK, CDKTF, CloudFormation)
  • ✍🏻 Write about interesting software and cloud concepts on Medium and AWS Community

👨‍💻 Languages and Tools


aws c++ aws-cdk terraform css-3 docker git html javascript typescript k8 graphql
python java mysql postgresql postman pycharm react tensorflow jenkins vscode codewhisperer copilot

maxtybar

Maksim Tybar's Projects

amazon-bedrock-samples icon amazon-bedrock-samples

This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all availble foundational models

bedrock-agents-cdk icon bedrock-agents-cdk

Custom AWS CDK Constructs written in Typescript and transpiled to Go and Python using jsii. The project is open-sourced and published to npm package repository and Construct Hub. Using these constructs developers can easily integrate provisioning of Amazon Bedrock Agents and Amazon Knowledge Bases into their infrastructure.

create-agent-and-kb icon create-agent-and-kb

Amazon Bedrock Agent that creates another agent and Amazon Bedrock Knowledge Base based on user's prompt.

maxtybar icon maxtybar

My personal GitHub repo page with README file.

opensearch-dynamodb-etl-cdk icon opensearch-dynamodb-etl-cdk

Amazon DynamoDB zero-ETL integration with Amazon OpenSearch Service using Amazon OpenSearch Ingestion and AWS CDK.

opensearch-embeddings-cdk icon opensearch-embeddings-cdk

RAG (Retrieval-augmented generation) framework implementation example using AWS OpenSearch Serverless service as a Vector DB. Run commands against indices stored in OpenSearch collection using Jupyter notebook in AWS SageMaker. Deployed using AWS CDK for Python.

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