Shreshta Mohan Email & Phone Number

New Jersey, United States

New York, United States

Machine Learning:• Developed and implemented a Supervised Vertical Federated Learning Pipeline using remote job execution, leveraging Amazon SageMaker and incorporating a Pythonic API design. • Orchestrated the integration of AutoML and streamlined the ML pipeline, ensuring efficient and secure machine learning operations.• Engineered features for data statistics, metadata, and column-level statistics, enhancing the platform's capabilities for remote private dataset schema… Show more Machine Learning:• Developed and implemented a Supervised Vertical Federated Learning Pipeline using remote job execution, leveraging Amazon SageMaker and incorporating a Pythonic API design. • Orchestrated the integration of AutoML and streamlined the ML pipeline, ensuring efficient and secure machine learning operations.• Engineered features for data statistics, metadata, and column-level statistics, enhancing the platform's capabilities for remote private dataset schema analysis.• Experimented with the development of custom ML Docker images for Vertex AI(GCP) and AWS Sagemaker, aiming to optimize deployment efficiency and ensure seamless integration with cloud-based machine learning environments.Marketing and Customer Engagement:• Spearheaded the creation of engaging product demos and facilitated seamless knowledge transfer to clients, promoting a deeper understanding of the platform's capabilities and functionalities.• Actively engaged in performing client-specific data science tasks, contributing valuable insights and solutions to meet customer requirements and business objectives. Show less

Pittsburgh, Pennsylvania, United States

Neural Signal Processing

Pittsburgh, Pennsylvania, United States

Contributed to the DeepFix project, focusing on Explainable Privacy Preserving Image Compression for Chest X-ray under Prof. Asim Smailagic.• Responsibilities included designing and implementing a Fixed Weight Wavelet Image Compression feature extractor in PyTorch for the CheXpert dataset.• Implemented the Least Salient Weight Re-initialization technique, significantly reducing the complexity of the classification Multilayer Perceptron (MLP) training.• Conducted thorough analysis of… Show more Contributed to the DeepFix project, focusing on Explainable Privacy Preserving Image Compression for Chest X-ray under Prof. Asim Smailagic.• Responsibilities included designing and implementing a Fixed Weight Wavelet Image Compression feature extractor in PyTorch for the CheXpert dataset.• Implemented the Least Salient Weight Re-initialization technique, significantly reducing the complexity of the classification Multilayer Perceptron (MLP) training.• Conducted thorough analysis of the explainability and interpretability of the deep learning model through the application of gradient saliency. Show less

Bengaluru, Karnataka, India

Digital design of signal processing circuits for high performance and low power.

Bengaluru, Karnataka, India

Digital design of Dithering block for image processing in HDMI

Bengaluru, Karnataka, India

Cache-Aided Non-Orthogonal Multiple Access Over Fading Channels in Downlink Cellular Networks:Derived a solution to the proposed optimization problem to find the optimal power control policy, such that the probability of successful decoding is maximized in a cache-equipped cellular network.Performance analysed for the following Channel Fading Models: Rayleigh, Rician, Nakagami-m,Lognormal and Weibull.

Master Of Science - Ms, Electrical And Computer Engineering

Data and Network Science Courses: Introduction to Deep Learning, Applied Stochastic Process, Introduction to Machine Learning, Image.

Bachelor Of Technology - Btech, Electrical, Electronics And Communications Engineering

Activities and Societies: Centre for Research in Space Science and Technology Specialization: Signal Processing Minors degree in Computer.