I’m a Computer Science student who enjoys solving problems that sit at the intersection of
algorithms, systems, and applied machine learning.

I care deeply about:

• strong fundamentals
• clean, readable code
• understanding why things work

Currently focused on:

• consistent problem solving
• ML projects with real-world relevance
• core CS concepts that scale long-term

Correctness • Optimization • Readability

• Built a scalable queue management platform with real-time synchronization
• Supports FIFO and VIP queues, live position tracking, and wait-time estimation
• WebSocket-powered updates with secure authentication and persistent queue state

Tech: React, Node.js, Express.js, PostgreSQL, Prisma ORM, Socket.io

🌐 Live Demo: QueueFlow

• Secure file sharing with AES-256 encryption and JWT authentication
• Role-based access control with protected REST APIs
• Optimized backend architecture for secure storage and efficient file delivery

Tech: React, Node.js, Express.js, MongoDB, JWT, REST APIs

🌐 Live Demo: Vault

• Machine learning model predicting infant mortality using vaccination and socioeconomic indicators
• Trained and evaluated Random Forest and Gradient Boosting models
• Interactive GUI for prediction and visualization

Tech: Python, Pandas, Scikit-learn, Matplotlib

• Data Structures and Algorithms
• Object-Oriented Programming
• Database Management Systems
• Operating Systems
• Machine Learning Fundamentals

• Maintain long-term LeetCode consistency
• Strengthen system-level thinking
• Build intelligent tools with real impact
• Prepare for software engineering roles

Strong fundamentals outlive every framework.