Rahul Mohan Email & Phone Number

United States

San Francisco, California, United States

San Francisco, California, United States

Working on state-of-the-art NLP to transform collaboration across your company by unifying knowledge that is siloed across tools.

Santa Clara, California, United States

Applying Deep Learning to several key genomics pipelines including DNA-sequence error correction in long reads. Developed a novel framework to accelerate the inference of Deep Learning models in application to DNA base-calling. Applying Transformers and NLP techniques for Drug Discovery.

Boston, Massachusetts, United States

Applying machine learning techniques to single cell technology in order to sub-type Pancreatic Cancer. Resulting paper to be published in Nature in 2021.

Santa Clara, Ca

Optimizing runtime of Deep Learning algorithms for Virtual Reality (VR) applications.

San Francisco, Ca

First member of Data Science team in startup working on delivering a chatbot-based virtual therapist. Developed and scaled NLP-based conversational understanding into production. Gained experience working on both data engineering (SQL, Node.js) and NLP research

San Jose, Ca

Developed a novel, state-of-the-art algorithm for caching that uses statistical techniques to improve the accuracy of cache eviction. Published research paper as lead author - "ALRUn: An Adaptive Cache Management Policy that Dynamically Combines Recency and Frequency".

Stanford, Ca

Developing deep learning models for modeling gene regulation and its relation to human disease. Developed a novel vector based representation of DNA Sequences using NLP techniques. Published in 5 peer reviewed journals and conferences.

Stanford, Ca

Worked on road detection and scene parsing algorithms for self-driving car project.Published research paper on Arxiv (https://arxiv.org/abs/1411.4101); 88 journal citations.Validated as a top performing method on KITTI road detection benchmark.

United States

Developed machine learning algorithms for reducing home energy consumption on an appliance basis.Solar Energy Disaggregation - Developed a regression model for forecasting solar panel power generation for unseen homes. Validated by utilities. Patent published.Electric Vehicle (EV) Disaggregation - Developed an SVM based classification model for identifying EV usage in whole home net power data. Deployed in SaaS platform. Patent published.

San Francisco Bay Area

Scripting using open source tools such as Tophat, Bowtie, Cufflinks at https://zaitlenlab.ucsf.edu/.Developed simple models for cancer classification using gene expression data.

Bachelor'S Degree, Computer Science

Education record