Yathish Naraganahalli Veerabhadraiah 

Yathish Naraganahalli Veerabhadraiah is a New York University Master Degree student in Cybersecurity from Tandon School of Engineering specializing in Information Security, Network Security, Beginner Ethical Hacker, and AI for Cybersecurity. Previously he worked as a DevOps Security engineer at Schneider Electric in Bengaluru, the IT city of India for almost 2 and half years including 6 months of internship in the beginning of his professional career. He developed skills in DevSecOps release management including technologies like Github actions, Bitbucket, AWS, and Docker. He was part of the company’s migration towards Enterprise Cloud for Schneider Electric and played a crucial role which provided more cost savings to the company. The servers were hosted in docker containers and integrated with Salesforce Cloud. As a part of digital customer relationship management, the company used Salesforce integrated with SAP and Schneider Product Information Management. He played a key role in handling critical Agile release cycles there by collaborating with more than 80 developers. He also developed several proof-of-concept projects like the use of Kubernetes as an orchestration manager and the use of Generative AI for product catalogs and brochures which is in the pipeline for 2025. He also worked as a research intern in one of the IoT and Robotics labs at his undergraduate college, PES University, in developing an “AI based Modular Agriculture Robot”. He built a robot with 3D printed components using Raspberry Pi for the web server and Arduino with sensors for controlling motion and collecting information from Agricultural fields such as crop and weed detection, fruit detection, and pest detection.

His capstone project was Deepfake detection which used state-art-of-the-art Deep Learning models used as baseline models (Efficient Net B7, Xeception Net, Inception ResNet) to learn facial characteristics and then integrated them with a LSTM neural network to learn spatial inconsistencies of the frame to detect faked faces that had been swapped with DeepSwap, DeepFace Labs, and other open source platforms which created Deepfakes used by StyleGANs and has been used to deepfake popular celebrities like Barack Obama and Donald Trump that provided false information to the public creating social abuse, violence, and political abuses. This solution could prevent those problems using high accuracy models. Lastly, he did a comparison study of all the models trains ensemble the results and made the classifications. Apart from this he was also a part time tutor in AI and Robotics for undergraduate students to help them learn practical approaches with the help of real-world case study projects. He is a member of the Cyber Security Club, is a CTF hackathon player, and is also a bug bounty hunter.