Ramesh Kaki
@rameshkaki
Data Scientist
Hyderabad, Telangana
Ramesh Kaki is a Data Scientist with over 3 years of experience specializing in Computer Vision, Machine Learning, and Automation. He possesses deep expertise in advanced techniques using frameworks like TensorFlow, PyTorch, and OpenCV. His experience includes developing ML-based systems for quality assurance, environmental monitoring, and hardware interfacing using platforms like Raspberry Pi and Arduino.
Experience
Machine Vision-Based Automatic Assembly Component Feature Identification System, Position Identification System, and Alignment System in Assembly Area for Aerospace and Automobile Vehicles
DRDO
This work focuses on automating the identification of assembly components, their position, and their alignment using advanced computer vision and image processing techniques. Responsibilities included designing specialized image acquisition setups, curating extensive datasets using RCNN and YOLOv5, and implementing deep learning techniques (RCNN, CNN, ResNet50, Inception, VGG, YOLOv5) for accurate identification. Developed robust image processing algorithms for dimension calculation (fastener length, width, pitch) and utilized techniques like k-nearest neighbors (KNN) for size classification. Also involved leveraging cloud platforms (AWS, Google Cloud, Microsoft Azure) and exploring edge computing solutions on devices like Raspberry Pi.
Education
BITS Pilani, Hyderabad Campus
Ph.D.
Automation with AI/ML
Currently pursuing Ph.D. in Automation with AI/ML.
VNR Vignan Jyothi Institute of Engineering and Technology
M.Tech
Advanced Manufacturing Systems
Completed M.Tech in Advanced Manufacturing Systems.
JNTUH
B.Tech
Mechanical Engineering
Completed B.Tech in Mechanical Engineering.
Govt. Polytechnic College Narsapur
Diploma
Mechanical Engineering
Completed Diploma in Mechanical Engineering.