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Miguel Brown

@miguelbrown

Senior Full Stack AI Engineer at Fieldtech who cut application latency by 64% and advanced agentic AI workflows.

United States
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At Fieldtech, I cut application latency by 64% with Next.js and React, improving response times from 300ms to 100ms. The application now handles 8K requests per day.

I accelerated agentic AI workflows and autonomous AI systems using OpenAI and Claude Code for regulated industries and Fortune 500 clients. I also directed a migration from a monolithic system to microservices, reducing deployment time and annual costs.

At QStart Labs, I optimized AI systems with scikit-learn and TensorFlow and developed backend services using Node.js and Anthropic Claude. I also migrated data from MySQL to PostgreSQL, reducing retrieval time from 25 seconds to 5 seconds.

Earlier, at Switchbox Inc, I built a full-stack application using Python, Django, React, and Next.js, with OpenAI and Claude Code for natural language processing. I also worked on data processing with PostgreSQL and Apache Spark.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Wilmington University logoWU

Wilmington University

Master's Degree, Computer Science

2013 - 2015

Master's Degree in Computer Science from Wilmington University from 2013 to 2015.

Delaware State University logoDU

Delaware State University

Bachelor's Degree, Computer Science

2009 - 2013

Bachelor's Degree in Computer Science from Delaware State University from 2009 to 2013.

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