Suchismita Sahu is a Senior Data Scientist and Machine Learning Engineer with seven years of experience applying ML, deep learning, and conversational AI to production problems, currently driving ML initiatives at NVIDIA. She has a strong background in accelerated data processing and ETL for business analytics, and hands-on expertise building and evaluating supervised and unsupervised models and deep architectures in TensorFlow and PyTorch. Her career spans industry and research—from memory workload forecasting and recurrent GANs at Micron to GAN robustness and biomedical imaging research at USC and Cedars-Sinai—bringing a unique blend of signal-processing foundations and practical ML engineering. Based in California, she excels at translating research prototypes into scalable solutions and has repeatedly worked at the intersection of systems performance and model-driven inference, such as characterizing memory controller workloads and synthesizing benchmarks.
7 years of coding experience
2 years of employment as a software developer
Master's degree, Electrical and Computer Engineering, Master's degree, Electrical and Computer Engineering at University of Southern California
Bachelor’s Degree, Electronics and Telecommunication Engineering, Bachelor’s Degree, Electronics and Telecommunication Engineering at Veer Surendra Sai University Of Technology ( Formerly UCE ), Burla
Image Processing Algorithms for Conversion of of grayscale to color image, Histogram Manipulation methods for image contrast enhancement and Denoising for uniform, salt and pepper, and mixed noise.
Contributions:2 PRs, 13 pushes, 2 branches in 7 months
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