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

👨‍💻 Languages and Tools

Maksim Tybar's Projects

actuarial-reserve-modelling

Scalable Actuary Reserve modeling using Batch Processing

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

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.

forage-jpmc-swe-task-1

Starter repo for task 1 of the JPMC software engineering program

forage-jpmc-swe-task-2

Starter repo for task 2 of JPMC's forage program

forage-jpmc-swe-task-3

Starter repo for task 3 of JPMC's Forage program

gen-ai-movie-poster-moderator

Flag poster that are not in semantic compliance with custom policies using Gen AI.

generative-ai-cdk-constructs

AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.

maxtybar

My personal GitHub repo page with README file.

opensearch-dynamodb-etl-cdk

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

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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