• 🎓 Computer Science Engineering graduate with strong interest in Web Development and Computer Vision.
• 💼 Currently working as a Python Intern at QSignage AI.
• 🧠 Hands-on experience with MediaPipe, YOLO, and DeepSORT for real-time detection, tracking, and video processing.
• 🎥 Working on object detection, person tracking, and automated video cropping using Python.
• 🎨 Former UI/UX Design Intern at CodSoft, experienced in user-centered design.
• 📄 Published a research paper on Medicinal Leaf Classification using MobileNet.
• 🚀 Actively preparing for Software / Computer Vision / Web Developer roles.

Python Intern – QSignage AI
📍 On-site | 🗓️ Present

• Developing computer vision pipelines using Python.
• Implementing real-time pose and landmark detection using MediaPipe.
• Working with YOLO for object detection and DeepSORT for multi-object tracking.
• Performing video-based person tracking and smart cropping for AI-driven signage use cases.
• Optimizing detection accuracy and performance for real-world video inputs.

Languages : Python, Java, C, JavaScript
Computer Vision : MediaPipe, YOLO, DeepSORT, OpenCV
Web Development : HTML, CSS, ReactJS, Flask
Databases : MySQL
UI/UX Tools : Figma, Canva Data & Tools : MS Excel
Version Control : Git, GitHub
Concepts : Object Detection, Multi-Object Tracking, Video Processing, Agile Basics