Nandakrishnan O

I’m a passionate Computer Science graduate with strong experience in Artificial Intelligence, Deep Learning, and back-end development. I enjoy turning research-grade models into real-world systems, especially when they involve scalable APIs and end-to-end pipelines.

In my projects, I built a Deepfake Detection System using Vision Transformer and Wav2Vec2, combining visual and audio analysis to improve detection accuracy. I also developed a Driver Assistance System for real-time drowsiness detection using OpenCV and deep learning models, including an alert system and emergency notifications with GPS location tracking.

I’ve designed an AI Image Generation System using Stable Diffusion and integrated ComfyUI for node-based workflows and customizable generation pipelines. This helped me strengthen my approach to practical model integration, preprocessing/inference flows, and producing reliable outputs.

Through internships at Edunet Foundation (MS AINSI and TechSaksham) and a Python Developer Intern role at Mallikarjuna Infosys, I worked on ML/DL concepts, classification and neural networks, data analytics, and generative AI, while also developing and testing Python applications and integrating APIs under best practices. I’m now seeking opportunities in software development, AI engineering, or research roles.