Vansh Chugh

Implemented 3 real-time object detection models on live camera feeds, analyzing latency and frame lag on edge devices while optimizing inference using frame skipping, reducing processing time from 50ms to 35ms per frame. Developed a web-based smart surveillance system with live video streaming, real-time threat classification, and facial recognition for tracking known and unknown individuals using stored facial embeddings.

Data Science and Machine Learning Intern - AriaIQ Technologies LLP - Jaipur (on-site)

(2024-07 - 2024-10)

• Implemented 3 real-time object detection models on live camera feeds, analyzing latency and frame lag on edge devices while optimizing inference using frame skipping, reducing processing time from 50ms to 35ms per frame.
• Developed a web-based smart surveillance system with live video streaming, real-time threat classification, and facial recognition for tracking known and unknown individuals using stored facial embeddings.

Machine Learning Trainee - Upflairs Pvt. Ltd

(2023-07 - 2023-09)

• Built ML pipelines with feature engineering, developed regression, and classification models using scikit-learn.
• Worked on vision tasks using OpenCV and TensorFlow for real-time image processing and model inference.

Bachelor of Technology - Computer Science and Engineering - Arya Institute of Engineering and Technology (2021-10 - 2025-05)