Yoganeya T K

I am a machine learning engineer specializing in deep learning, NLP, computer vision, and speech recognition, with hands-on experience building end-to-end AI systems and mobile integrations.

As a research intern at a national institute, I work on deep learning, reinforcement learning, generative AI, and optimization algorithms, applying cutting-edge methods to real problems.

I led a team in a national hackathon to build a real-time English/Hindi to Indian Sign Language solution, achieving strong accuracy and significantly improving comprehension for users; I also automated testing and deployment workflows to accelerate development.

My projects include a production-oriented SignFlow AI system using Flask, React, Docker and PostgreSQL, and a multi-disease prediction model using SVM with deployment considerations on Azure and MongoDB. I focus on building accessible, scalable, and user-centered AI solutions.