Hello, I'm
I'm Teja Nikhil, a computer science entusiast currently pursuing MS in Computer science at IIT Indore. My personal interest and learning aligns with Statistical Machine Learning, Building explainability for LLMs, Data Processing, and Multi GPU Training Optimization and various tools related to these.
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Optimizing DNN Training
Deep neural networks
MS - Computer Science
B.Tech - Artificial Intelligence
The world of high-speed data flow transfers—whether in AI, networks, or operating systems—has always fascinated me, fueling my curiosity to uncover the mechanics behind the scenes. I am deeply passionate about continuous learning and Artificial Intelligence, with a focus on optimizing multi-GPU training workloads at all levels: architectural, GPU connectivity, and network efficiency. My interests include Large Language Models (LLMs) and their transformative applications. Currently, I am working on multi-GPU training optimization at the topological level, specifically focusing on GPU connectivity to enhance the performance of large-scale AI systems.
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Authors: Masabattula Teja Nikhil, Kavya Duvvuri, Kanisettypalli Harshitha
Journal: Intelligent and Fuzzy Systems
Keywords: Glaucoma detection, model-based RL, Dyna-Q algorithm, reward system
Authors: Masabattula Teja Nikhil, Mutyala Sai Sri Siddhartha, Boda Venkata Nikith
Journal: ICMLDE
Keywords: Feature extraction, MFCC, Chroma features, GFCC, Stress level recognition, CNN, LSTM
Authors: Masabattula Teja Nikhil, Kavya Duvvuri, Kanisettipally Harshitha
Conference: 3rd International Conference (IEEE Published)
Keywords: Glaucoma, Cataracts, Diabetic retinopathy, Histograms, Databases, Visual impairment, Medical services
Authors: Masabattula Teja Nikhil, Mutyala Sai Sri Siddhartha, Boda Venkata Nikith
Conference: 6th International Conference
Keywords: Model Agnostics, Explainability, Perturbations, LIME, Flower Classification