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Architecture in the Age of AI
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Assessing your cultural and operational fit
Amazon Web Services
Frontend Developer
June 21, 2026 – Present
docs
May 14, 2025 – Present
Documentation for the Strands Agents SDK. A model-driven approach to building AI agents in just a few lines of code.
View ProjectAmazon-Bedrock-Inline-Agents-with-Return-Control
February 27, 2025 – March 3, 2025
This SDK provides a simple yet powerful way to create and interact with Amazon Bedrock Agents using the Return Control pattern. It allows you to easily define function tools, organize them into action groups, and handle the entire conversation flow with minimal boilerplate code.
View Projectbedrock-connected-to-the-real-world
October 20, 2024 – February 17, 2025
Educational examples demonstrating how to enhance AI capabilities by connecting Amazon Bedrock to real-world data and services. From basic LLMs to context-aware, dynamic AI solutions.
View Projectamazon-bedrock-studio-bootstrapper
July 9, 2024 – Present
amazon-bedrock-studio-bootstrapper — repository
View Projectjava-fm-playground
October 17, 2023 – May 10, 2024
Explore how you can use Amazon Bedrock with Java in a dynamic environment! It includes a Spring Boot app and a Next.js frontend, perfect for learning and experimentation with generative AI on AWS.
View Projectpython-fm-playground
October 17, 2023 – April 12, 2024
Explore how you can use Amazon Bedrock with Python in a dynamic environment! It includes a FastAPI app and a Next.js frontend, perfect for learning and experimentation with generative AI on AWS.
View Projectamazon-bedrock-java-examples
October 2, 2023 – July 12, 2024
Welcome to this repo where we'll continue adding hands-on examples demonstrating the use of the Java SDK for Amazon Bedrock.
View Projectpoint-to-point-messaging-with-amazon-sqs
July 7, 2023 – October 19, 2023
Companion repository for the tutorial Point-to-Point Messaging with AWS Lambda
View Projectrequest-response-with-amazon-api-gateway
July 7, 2023 – October 19, 2023
Companion repository for the tutorial Request-Response with Amazon API Gateway and AWS Lambda
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on AWS and AI/ML, indicating a strong interest in these areas. While this demonstrates depth, the lack of diversity in project domains and technologies outside of AWS/AI might suggest a narrower scope of experience. The current role as 'Frontend Developer' at Amazon Web Services aligns well with the target role, but the experience level is 0, which is contradictory to having a current full-time role. This discrepancy makes it difficult to fully assess cultural fit and experience level.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.