Mahaswetha
N.
Building scalable, AI-powered web solutions at the intersection of fintech, healthcare, and community impact.
Architecting at the
intersection of ideas.
I am a second-year Computer Science Engineering student passionate about full-stack development and leveraging AI to solve real-world problems. My work spans fintech, community disaster response, and healthcare management—where I focus on building secure, efficient, and user-centric applications.
I thrive on architecting complex systems—from deploying Flask backends on Azure to integrating sophisticated LLMs like Llama 3.3 and Gemini AI to enhance user functionality. My approach is defined by clean, performant code and a commitment to technical rigor.
Beyond my technical projects, I am an active member of The Box Office (MIT Dramatics Club), where I enjoy blending technical development with creative, collaborative efforts.
Deepening expertise in advanced cloud architecture, specifically exploring how AI-driven insights can be integrated into everyday web applications to radically improve accessibility and operational efficiency.
Technical Arsenal
Full-Stack Development
AI & LLM Integration
Cloud & Infrastructure
Core Engineering
Selected Work
Community Impact
Disaster Response Platform
Engineered a tri-role disaster coordination platform with AI-automated incident classification. Leveraged Google Maps API for real-time crisis monitoring and situational awareness across multiple stakeholder levels.
MyFinance
AI Finance Tracker
Secure finance manager with JWT-protected APIs. Natural language transaction logging and AI-driven financial reporting via Groq integration. Built on MERN stack with Recharts for data visualization.
The Box Office
MIT Dramatics Site
Scaled to 500+ users. Reduced initial load times by 40% via code splitting. Delivered a reusable UI component library that boosted feature deployment velocity by 25%.
Cloud-Deployed Medical
Management Application
Architected a secure healthcare backend deployed on an Azure Ubuntu VM, ensuring high reliability and efficient persistent storage. Production-grade infrastructure with Gunicorn for process management and SQLite for structured data persistence across sessions.
On Araneri & Community
"What excites me about Araneri is the emphasis on showcasing diverse talent and building a community that values both aesthetics and functional depth. My favorite thing about it is the platform's ability to turn a collection of technical projects into a cohesive, personal narrative that truly reflects a developer's growth and ambition."
Let's Connect
Open to collaborations, interesting problems, and conversations about AI-powered systems.