Turning ideas into real-world applications
AI/ML + Data + Backend Systems
Cloud | Open Source | Scalable Tech

• Computer Science student building practical, real-world applications
• Strong in Python, Java, Web Development & Databases
• Working on AI/ML, Data Analysis & Backend Systems
• Exploring Google Cloud, deployment & scalable architectures
• Improving DSA & problem-solving for technical interviews
• Targeting Software Development / ML Internship opportunities

• Building projects like Smart Attendance System & Data Analysis pipelines
• Applying ML models to solve real-world problems
• Learning system design basics & backend scalability
• Practicing DSA regularly (LeetCode / coding platforms)
• Exploring open-source contributions (GSoC preparation)

• Built multiple projects in AI/ML, Web Development & Data Analysis
• Hands-on experience with end-to-end ML workflow (data → model → visualization)
• Worked with multiple databases (MySQL, PostgreSQL, SQLite, Supabase)
• Gained practical exposure to Google Cloud services & deployment
• Consistently improving problem-solving skills (DSA practice)
• Actively preparing for Google Summer of Code (GSoC)