Hi there, I'm Maksim Tybar
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What I Do

I am a Software Developer and Cloud Architect with over 3 years of professional experience.

More about me

I graduated with a Bachelor Degree in Computer Science from Oklahoma State University in the USA in 2021 and have been working as a Backend Software Engineer and Cloud Architect/Developer ever since.

Professional tennis player in the past I enjoy working in a team and have a strong passion for learning new technologies and building scalable and reliable software solutions.

I have experience in building complex microservice applications with Java and SpringBoot, range of front end frameworks (React, Node.js, JS, etc.) as well as architecting and running distributed systems on AWS. Well experienced in Infrastructure as Code (AWS CDK and Terraform).

Currently I work as a Solutions Architect at Amazon Web Services in Seattle, WA and help largest customers running their workloads on AWS.

MY SKILLS

Some of my past projects

Insurance underwriting with generative AI using Amazon Bedrock

Insurance underwriting is a critical process in the insurance industry that determines the eligibility of a customer for a policy, the coverage amount, and the premium. Traditionally, underwriting is a manual process that requires a lot of time and effort. However, with the advent of generative AI, insurance companies can streamline the underwriting process and make it more efficient. In this blog post, myself, along with my colleagues will show how to use generative AI to streamline the insurance underwriting process using Amazon Bedrock and AWS CDK.

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Gen AI Movie Poster Moderator

Media companies want to review movie posters for specific markets for compliance before they publish them. For example, in China movie posters should not show bones. These moderation requirements need to be customizable and should not require additional training. Gen AI Movie Poster Moderator takes a movie poster and evaluates it for customizable and nuanced conditions. It can detect nuances like sharks vs sharks eating humans. If a condition fails it flags the poster and provides the reason why it failed.

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AWS Generative AI CDK Constructs

Co-contributor to the AWS Labs Generative AI Construct Library. The AWS Generative AI Constructs Library is an open-source extension of the AWS Cloud Development Kit (AWS CDK) that provides multi-service, well-architected patterns for quickly defining solutions in code to create predictable and repeatable infrastructure, called constructs. The goal of AWS Generative AI CDK Constructs is to help developers build generative AI solutions using pattern-based definitions for their architecture.

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

Discover the seamless integration of AWS DynamoDB and Amazon OpenSearch with the newly unveiled zero-ETL capability. This project simplifies the process of ingesting DynamoDB data into OpenSearch clusters or collections through a straightforward configuration file, all provisioned effortlessly with AWS CDK for TypeScript.

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RAG Embeddings using AWS OpenSearch Serverless and AWS CDK for Python

RAG (Retrieval-augmented generation) framework implementation example using AWS OpenSearch Serverless service as a Vector DB. Run commands against indices stored in OpenSearch serverless collection using Jupyter notebook in AWS SageMaker console. This solution is deployed and provisioned using AWS CDK for Python.

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Bedrock Agents and Knowledge Bases CDK Constructs

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

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Actuarial reserve modeling using AWS HPC services

Actuarial modeling is a key component in the insurance industry, used for analyzing and predicting various risks and potential losses. Due to the complexity of calculations involved, actuarial modeling requires significant computing power and resources. This is where AWS services such as AWS High Performance Computing (HPC) services come in.

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