AI Engineer
As an AI Engineer, my focus is on designing, developing, and maintaining AI models and systems to tackle challenges and enhance decision-making within organizations. I have a deep interest in scalable architecture, DevOps pipelines, efficient programming, code quality, and best practices. On this page, I aim to share insights, tutorials, and some unique discoveries that might not be easily found elsewhere, all of which reflect my journey and learning in the field.
My Current Interests
Automated AWS Deployment
Automate the deployment of resources across multiple accounts and regions using a pipeline, ensuring efficient setup for both development and production environments. This approach supports consistent configurations, integrates with CI/CD processes, and includes rollback capabilities for improved stability.
Typescript
For my current role, I am learning TypeScript—a language widely used for both frontend and backend development. With a background in Python and Java, I find TypeScript straightforward to read and adopt. The main challenges lie in understanding Node.js threading and web server architecture, but overall the transition has been smooth.
Newest Insights & Stories
JSON Editing with LLMs - Getting it Right
January 22, 2026
Three architectural iterations on how an AI agent should apply edits to JSON tool configurations - structured output, search & replace, and JSON Patch.
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Why Fetching Documentation for Context Engineering is Hard
November 21, 2025
Turning third-party documentation into reliable context for AI agents is one of the toughest engineering problems in building integrations.
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Building Python Audio Consumers for Amazon Connect Kinesis Media Streams
November 11, 2024
Learn how to stream, process, and save live audio from Amazon Connect using Kinesis Video Streams and Python
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