I am an Artificial Intelligence student with a strong interest in building reliable, efficient, and real-world AI systems. My experience comes from academic projects and competitive hackathons, where I focus on transforming ideas into functional prototypes under strict time constraints.
I aim to develop AI solutions that are practical, maintainable, and impactful, with emphasis on machine learning pipelines, data quality, and system-level thinking.
- AI Systems Design & Development
- Machine Learning Applications
- Data Analysis & Preprocessing
- Intelligent Automation
- Technical Problem Solving
- 9× Hackathon Winner
- Experience delivering production-style prototypes
- Strong foundation in applied AI & software engineering
- Comfortable working under deadlines and technical evaluation
These will be linked as your repositories grow.
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AI Data Cleaning Toolkit
Tools for dataset validation, preprocessing, and quality improvement. -
ML Models Lab
A collection of machine learning experiments, model evaluations, and training pipelines. -
SQL Data Analysis
Practical SQL projects for structured data exploration and reporting.
This GitHub profile is designed to demonstrate:
- Clean and maintainable AI project structures
- Well-documented machine learning workflows
- Reproducible experiments
- Professional development practices
- Real technical depth, not just demos
“Building practical AI systems with real-world impact.”