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What Training ML Models Taught Me About Being Human
I spent 12 weeks training machine learning models in my AI course. I accidentally learned more about myself.
Machine LearningPersonal GrowthDevelopment+1
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Engineering articles & notes.
Deep dives, architecture notes, performance tuning stories, and practical experiments with AI tooling, React, TypeScript, and scalable web systems. Browse, search, and jump into a post.
Showing 4 of 4 posts
•5 min read
The Art of the Stupid Idea: How AI could unlock your most creative work
Exploring the intersection of AI and human creativity, and how combining both is the ultimate superpower.
BrainstormingAI DevelopmentProductivity+1
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•12 min read
Why useState is Breaking Your AI App: The Case for State Machines in Complex React Interfaces
Tangled in isLoading, isStreaming, and error states? Your useState hooks are creating impossible bugs. Learn why state machines like useReducer and XState are the professional solution for building robust, complex, and bug-free AI-powered UIs in React.
ReactState ManagementAI+3
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•7 min read
5 Open-Source MCP Servers That Actually 10x Your GitHub Copilot Workflow
Stop copy-pasting context between tabs. These 5 MCP servers give GitHub Copilot superpowers: semantic memory, live documentation, smart research, browser automation, and structured long-term memory.
MCPDevelopmentProductivity+2
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About me
I'm a Software Engineer at Microsoft, building user experiences for M365 Copilot. Currently pursuing my Master's in Computer Science at Georgia Tech, specializing in Machine Learning.
Microsoft Role
Building UX for M365 Copilot, focusing on AI-powered productivity experiences and user interfaces.
Academic Focus
Master's in CS at Georgia Tech with ML specialization, bridging AI research with practical applications.
Engineering Excellence
React, TypeScript, Next.js. Clean code, great DX, and scalable architectures that ship fast.
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