Mohan Sai Singamsetti

WORK HISTORY

EDUCATION

ABOUT MOHAN SAI SINGAMSETTI

Currently working as AI Researcher at Huawei Canada. Previous experience includes working as an AI research intern at Huawei, Working on the Stable Diffusion and MultiModal LLMs inference optimizations on the Neural Engines and optimizing the vision transformer architectures for the mobile inference; University of Alberta, worked on computational creativity with Neural architecture search on a project titled “Conceptual Expansion Neural Architecture Search”; Vanderbilt University, worked on the project with Acoustic signal classification problem, which includes classification of the fireworks and the gunshots. Current Research Interest: Stable Diffusion, LLMs and Transformers and optimization for mobile device inference. My areas of interest include Computer Vision, Deep Learning, IoT, Data Science, Software Engineering, and Software Development. Passionate about innovating and developing new product ideas that have a high impact. Excellent team skills. Self-starter and ability to thrive in challenging environments. Skills Programming Languages: Python, C, C++ and Java Deep Learning: Pytorch, Keras, TensorFlow Computer Vision: OpenCV Machine Learning: scikit-learn, Pandas, Numpy, Matplotlib Others: Docker, AWS, Azure Cloud, Google Cloud