About
AI/ML-focused developer passionate about solving real-world problems with data-driven solutions. Builds practical machine learning and full-stack projects and is continuously learning through hackathons and hands-on development.
Education
-
2029
B.TechArtificial Intelligence and Machine Learning · Aug 2025 – Jun 2029
Skills
Tools / apps / platforms
Projects
-
YatraIQ — AI-Powered Tourism PlatformNext.js, React, TypeScript, Tailwind CSS
Building a tourism platform with separate Traveller and Authority dashboards, destination discovery, role-specific navigation, and responsive UI. Planning future integration of data-driven tourism insights and ML capabilities.
-
RakshakAI — Personnel Welfare Risk Identification
Developed a welfare-focused AI solution concept to identify stress and fatigue risk using sleep, workload, duty intensity, leave, social support, and family separation indicators. Explored feature engineering, LightGBM-based risk prediction, and SHAP explainability.
-
Python, Pandas, Scikit-learn
Built an ML pipeline using the Diabetes 130-US Hospitals dataset, including preprocessing, EDA, and Logistic Regression with and without L2 regularization. Evaluated using precision, recall, F1-score, ROC-AUC, confusion matrix, and threshold analysis.
Courses & certifications
- Relevant Coursework
🏆 Achievements & awards
-
AWS AI Practitioner certification · 2026
Successfully earned the AWS AI Practitioner certification.
-
Smart India Hackathon institute-level round cleared · 1998
Cleared the institute-level round of the Smart India Hackathon with Team KavachX for RakshakAI.