Hi, I'm

BRYAN MEJIA

I'm a software engineer based in New York, currently working as a Cloud & AI Specialist at the American Arbitration Association, where I manage spending across eight cloud and AI vendors. Before that, I led the engineering team for a contextual memory and learning platform at an agentic AI startup, building multi-agent systems that work across different agent tools. I focus on AI and agentic systems: designing systems that adapt and learn in changing environments to solve complex business problems.
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NAME/Bryan Mejia
HOME/New York, NY
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About

From computer science principles to agentic systems in production.

My path through software engineering has been additive. Each layer I learned became the foundation for the next, and all of it now points toward AI.

Computer Science Principles

It started at CUNY Queens College: data structures, algorithms, operating systems, and the habit of reasoning about a problem before reaching for a keyboard. That grounding is still the part I lean on most.

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Software Engineering

I learned how systems are built and maintained, not just designed. Java and C++ taught me structure, JavaScript and TypeScript taught me the web, and shipping to real users taught me the difference between working and reliable.

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Data Science and Machine Learning

Working with Pandas, NumPy and model pipelines shifted how I think about problems, from deterministic logic toward evidence, evaluation and uncertainty.

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AI and Agentic Systems

This is where I work today: agent harness integration, lifecycle-hook context injection, tool calling, RAG, and the cloud infrastructure and cost engineering that keep it all running in production.

Skills

Technical Skills

Experience

Professional Experience

Projects

Featured Projects

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Project Archive

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Travel

Places I've Visited

New YorkHome

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