Srimanth Agastyaraju is an accomplished AI Engineer with extensive experience in Computer Vision, Natural Language Processing, and Software Development. With a Master's in Data Science from Indiana University Bloomington, Srimanth has established himself as a versatile AI Engineer.

His expertise in Computer Vision shines through his work at Easel AI, where he implemented an SDXL-based pipeline to enhance the quality of image generation, showcasing his ability to work with cutting-edge technologies. His proficiency extended to fine-tuning models like SDXL and SDXL Turbo, enabling personalized user image generation tasks that pushed the boundaries of what's possible in AI-driven image creation.

During his time as a Deep Learning Research Engineer at Indiana University Bloomington, he orchestrated a complex 3D reconstruction deep learning model with millions of parameters, pushing the boundaries of what's possible. His work on image super-resolution, particularly training Super-Resolution GAN models, further underscores his expertise.

Beyond his core AI expertise, Srimanth is actively expanding his technical repertoire. He is delving into Rust programming, drawn to its performance and safety guarantees, while simultaneously exploring backend development and distributed systems. This pursuit reflects his commitment to building robust, scalable solutions that can handle the demanding requirements of modern AI applications.

Committed to continuous learning and innovation, Srimanth is passionate about leveraging AI and machine learning to solve complex problems. Throughout his career, Srimanth has consistently demonstrated an ability to bridge the gap between theoretical AI concepts and practical applications. His experience with generative AI systems, including GANs, Stable Diffusion models, and Large Language Models, positions him at the forefront of AI innovation.