• Completed intensive training on ML fundamentals, data preprocessing, and model evaluation techniques.
• Covered supervised and unsupervised learning algorithms using Python, Pandas, and Scikit-Learn.

• Multi-agent AI platform increasing RFP throughput by 7x.
• Reduced end-to-end response time from 72+ hours to 30 minutes.
• HITL validation console for audit-ready PDF Bid Analysis Reports.

• Full-stack financial platform supporting 10+ active users.
• JWT auth + OTP contributing to 20% reduction in user spending.
• Deployed via CI/CD with GitHub Actions on Render.

• DAG-based O(V+A) algorithm with 95% schedule generation efficiency.
• Decoupled two-process architecture with cloud persistence via Supabase.
• Gantt and line chart analytics with 8-day inactivity alerts.

CGPA: 9.13 / 10

Percentage: 92.25%

Percentage: 94.4%