Dhivya Sreedhar
Graduate student and ML researcher focused on deep learning
Pittsburgh, Pennsylvania
Joined May 2026
Summary
Graduate student and active researcher in deep learning and machine learning, contributing to academic publications and course instruction at Carnegie Mellon University. google+2
Applies machine learning to practical environmental problems — notably building datasets and ML pipelines for plastic identification and sorting as part of a city pilot with Reclamation Factory. reclamationfactory+1
Combines academic research (including HCI and signal-based input research such as sEMG typing) with industry experience across ML and software engineering roles. arxiv+2
Experienced in both teaching and hands-on engineering: has served as a TA for CMU's intensive deep learning course and held multiple engineering/research positions spanning startups and established companies. cmu+1
Work
Education
Projects
Writing
Typing Reinvented: Towards Hands-Free Input via sEMG
November 1, 2025arXiv paper exploring surface electromyography (sEMG) as a non-invasive input modality for mapping muscle activity to keyboard inputs, using attention-based architectures and a lightweight decoding pipeline to enable real-time muscle-driven text input.
Turning the Plastic Problem into a Machine Learning Challenge
January 1, 2025A technical blog post describing dataset construction, augmentation strategies, model design (transfer learning and multi-head architectures), and evaluation for machine-learning-driven plastic identification and sorting applied in a city pilot.
Lane and Traffic Sign Detection in Self-Driving Cars using Deep Learning
January 1, 2024Research work on lane and traffic sign detection for autonomous driving using deep learning techniques (listed in Google Scholar author profile).