Engineering student specializing in Data Science with a strong interest in software development, backend systems, and building real-world applications. Focused on developing scalable software, working with databases, APIs, and modern development tooling.
Passionate about building production-grade software architectures — from offline-first mobile emergency systems with multilingual speech narration like HelpMate, to real-time collaborative social hubs like NotesHub, and AST-aware AI code intelligence engines like Codebase RAG Engine.
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HelpMate
FeaturedMultilingual Emergency and First-Aid Assistance System
An offline-first emergency assistance mobile application tailored for low-literacy users and high-stress scenarios, featuring high-contrast pictorial guidance, step-by-step first-aid protocols, and dynamic CPR pacing.
- Built a native-language accessibility engine supporting 11 regional languages combining pre-recorded localized audio cues and Text-to-Speech voice narration.
- Developed a one-touch SOS dispatch system with a 3-second hold-to-trigger safety mechanism, real-time GPS coordinate geocoding, and automatic multi-recipient emergency SMS alerting via a custom native Android SMS module.
NotesHub
FeaturedFull-Stack Collaborative Note-Sharing and Social Platform
A full-stack collaborative note-sharing and social learning platform enabling users to create, organize, and share study materials through hierarchical folder structures and rich note management.
- Implemented real-time direct messaging with Socket.io, supporting live typing indicators, read receipts, and online or offline presence tracking.
- Developed a social timeline and notification system using Server-Sent Events with aggregated feeds based on user network relationships and activity.
Codebase RAG Engine & Dashboard
FeaturedAI-Powered Repository Intelligence System
A high-performance Retrieval-Augmented Generation system for indexing, analyzing, and querying software codebases in real time through Web UI, TUI, and CLI interfaces.
- Implemented AST-aware semantic parsing using Tree-sitter to extract functions, classes, and imports across TypeScript, JavaScript, Python, and Java codebases.
- Designed an incremental indexing pipeline using SHA-256 file hashing to avoid redundant reprocessing and automatically prune deleted or modified files.