I turn curious questions into working experiments.
I'm a second-year B.Tech student in Artificial Intelligence & Data Science, exploring how algorithms, data, and software can work together to solve practical problems.
My interests sit at the intersection of machine learning, computer vision, backend engineering, and open source. I enjoy moving beyond theory: experimenting with ideas, building applications, testing edge cases, and learning from real-world codebases.
|
PERCEPTION Computer Vision |
INTELLIGENCE Machine Learning |
IMPLEMENTATION Software Engineering |
Making sign-language learning more interactive.
An AI-assisted learning and assessment platform that explores gesture analysis, assessment workflows, and learner feedback.
- MediaPipe landmark-based gesture analysis
- Assessment and feedback workflows
- React frontend with a FastAPI backend
Python MediaPipe OpenCV React FastAPI
Exploring more intelligent movement through cities.
An academic project focused on intelligent traffic-management concepts and emergency-vehicle prioritisation.
- Emergency mobility and traffic-control concepts
- Data-driven transportation ideas
- Software-based problem solving
AI Concepts Intelligent Transportation Software Development
Understanding rainfall patterns through data.
Adaptive Targeted Monsoon Optimization System — a prototype exploring rainfall-regime classification, forecast bias correction, and weather-forecast evaluation.
- Rainfall-regime analysis
- Forecast correction workflows
- Weather verification metrics
Machine Learning Weather Data Forecast Evaluation
flowchart TD
A(("QUESTION")) --> B["Explore the data"]
B --> C["Find the pattern"]
C --> D["Build the solution"]
D --> E["Test real behaviour"]
E --> F(("Learn & Improve"))
F -. "new questions" .-> A
style A fill:#0B1F33,color:#67E8F9,stroke:#38BDF8
style B fill:#102A43,color:#FFFFFF,stroke:#38BDF8
style C fill:#123A55,color:#FFFFFF,stroke:#22D3EE
style D fill:#164E63,color:#FFFFFF,stroke:#22D3EE
style E fill:#123A55,color:#FFFFFF,stroke:#38BDF8
style F fill:#0B1F33,color:#67E8F9,stroke:#38BDF8
|
Contributing an NFT identifier helper with serial-number validation and unit tests. Exploring: input boundaries, SDK behaviour, reliable APIs. |
Contributing a documentation example for automatic application restart and live reload. Exploring: developer experience, documentation, practical workflows. |
These links identify my pull requests; please check each PR for its latest review and merge status.
|
⌘ Languages |
|
|
✳ AI & Data |
|
|
◇ Web & Backend |
|
|
▤ Data Storage |
|
|
⚒ Workflow |
|
|
01 Evidence Test before claiming. |
02 Simplicity Prefer clear solutions. |
03 Reliability Respect edge cases. |
04 Growth Learn from feedback. |
I practise problem solving, explore new technologies, and learn by contributing to projects beyond my own repositories.
