Computer Science & Cognitive Science student at Johns Hopkins University (GPA: 3.96/4.00) passionate about building impactful full-stack applications. I've interned at fAIshion, P&G, RedVest, and NextTier, where I developed AI-powered tools, real-time streaming services, and mobile applications that reached 100K+ users.
I love creating 0-1 products with modern tech stacks—whether it's building AI agents with LangChain, developing GraphQL APIs, or crafting beautiful user interfaces. My approach: ship fast, iterate faster, and always prioritize user experience.
const alina = {
location: "Baltimore, MD",
education: "Johns Hopkins University '27",
interests: ["Full-Stack Development", "AI Integration", "System Design"],
currentlyLearning: ["Advanced GraphQL Patterns", "Distributed Systems", "LLM Applications"],
funFact: "I build tools that I actually use every day"
};|
A production-ready full-stack application I use daily for productivity. Tech Stack: Key Features:
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Android app for surgical hand stability training using real-time camera processing. Tech Stack: Key Features:
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Web application for creating and studying with digital flashcards. Tech Stack: Key Features:
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Exploring AI agent capabilities with LangChain framework. Tech Stack: Key Features:
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A clean, simple task management solution focusing on core functionality. Tech Stack: Key Features:
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Click to expand my technology toolbox
"Build things people actually want to use"
I believe in:
- Rapid prototyping — Start from scratch and ship fast
- User-centric design — UX is everything
- Clean code — Write code that others can understand
- Continuous learning — Stay curious and experiment
Currently exploring: AI-powered development tools, advanced GraphQL patterns, and distributed systems architecture.
I'm always open to interesting conversations, collaboration opportunities, and learning from others.
"The best way to predict the future is to build it."