I'm an Information Science and Engineering undergraduate interested in AI engineering, applied research, and building practical software systems.
I enjoy working at the intersection of Generative AI, intelligent educational systems, graph-based reasoning, information retrieval, and full-stack development.
Challenge the tutor. Reveal the misconception.
An AI-powered diagnostic learning system that goes beyond right/wrong answers to identify the misconception behind a learner's reasoning, generate a targeted intervention, and check whether the learner actually recovered.
Python · Groq · Generative AI · Gradio
The learning roadmap your syllabus never gave you.
Transforms a real course syllabus into an interactive learning roadmap with concept dependencies, learning resources, prerequisite diagnosis, micro-lessons, and retesting.
Python · Groq · React · MarkItDown
My final-year research project: a bounded framework for prioritizing software dependency investigations.
Python · Graph-Based Reasoning · Software Dependency Analysis
An open-source disaster preparedness and response education platform featuring interactive learning modules, gamified quizzes, regional awareness, multilingual support, emergency information, and preparedness tracking.
React · Tailwind CSS · Node.js · Express · MongoDB
Generative AI
├── LLM Applications
├── AI-powered Diagnosis
├── Adaptive Learning
├── Prompt Engineering
└── AI Reasoning Systems
Intelligent Systems
├── RAG
├── Information Retrieval
├── Semantic Search
├── Document Processing
├── Recommendation Systems
└── Learner Modeling
Software Engineering
├── Python
├── JavaScript
├── React
├── Node.js / Express
├── Flask
├── REST APIs
└── Full-Stack Development
Research
├── Graph-Based Reasoning
├── Software Dependency Analysis
└── Experimental Evaluation
Languages
AI / Data
Web / Backend
Tools
- 🥇 Department Topper — Semesters 1–4
- 🏅 Top 12 — Udyam Mahila Ideathon from 2666+ participating teams
I enjoy contributing to and building open-source software, particularly projects involving:
- AI and intelligent systems
- Developer tooling
- Educational technology
- Data and automation
- Practical social-impact applications
I value clean architecture, reproducibility, documentation, testing, and transparent AI behavior.
- Generative AI & LLM applications
- AI agents and reasoning systems
- Applied machine learning
- AI for education
- Information retrieval & RAG
- Software engineering research
- Open-source collaboration
I'm always interested in collaborating on AI projects, research, open source, and technically ambitious ideas.
Build useful things. Understand why they work. Make them better.