Kausthub Kannan

I'm a passionate Machine Learning enthusiast with expertise in Computer Vision. My focus lies in deep learning, including object detection, image segmentation, Generative AI, and image processing. Additionally, I excel in API development and cloud-based model deployments. I'm eager to collaborate on impactful projects that leverage AI and data science to create innovative solutions for real-world challenges. Let's team up and make a difference through technology!

As a machine learning professional, I have gained diverse experience through internships in cutting-edge technology domains. Currently, I'm working as a Machine Learning Intern at Interface Labs, where I develop AI agents and e-commerce reporting systems. Previously, at Siemens Advanta, I focused on LLM optimization, implementing model quantization and specialization for human-machine interface environments. My research background includes medical imaging work at Dayananda Sagar College of Dental Science, where I conducted precise anatomical measurements and image annotation.

My project portfolio showcases innovative AI applications, including DROPEX (a disaster zone victim detection system), GIST3DR (3D bone modeling with augmented reality), and Farmsense.ai (an AI-driven sustainable farming solution). With a strong technical skill set spanning Python, JavaScript, machine learning frameworks, and cloud technologies, I'm a computer science graduate from Dayananda Sagar College of Engineering, maintaining an impressive 9.6 CGPA and complementing my academic pursuits with additional training in quantum computing.