Dwaraknath Gnaneshwar

Dwaraknath Gnaneshwar's work experience includes:

- Machine Learning Engineer at Cohere since September 2022. Responsibilities include efficient inference of transformers in CUDA C++, FasterTransformer, and Triton, as well as distributed training of large language models.

- Machine Learning Intern at Cohere from June 2022 to September 2022. Involved in distributed training frameworks with TPU, JAX, and Ray, working on Internet-scale Language Models.

- Research Engineer at Carnegie Mellon University from August 2021 to May 2022.

- Machine Learning Researcher at FOR.ai from October 2019 to May 2022.

- Machine Learning Engineer Intern at aixplain, inc. from January 2021 to June 2021.

- Summer Intern at IBM in 2020. Responsibilities included working on the class imbalance problem in natural language settings, implementing a framework to analyze data augmentation methods for unstructured text data, and writing scalable code to process large amounts of data.

- Student Developer, DBpedia at Google Summer of Code in 2019. Developed a Multi-lingual RDF verbalizer framework of DBpedia based on Graph Attention Networks and Transformers, achieving state-of-the-art results in mono-lingual, bi-lingual, and multi-lingual settings.

- Computer science committee member at IEEE Student Branch Manipal from October 2018 to July 2019.

Overall, Dwaraknath Gnaneshwar has experience in machine learning engineering, research, and internships with a focus on language models, distributed training, data analysis, and large-scale data processing.

Dwaraknath Gnaneshwar completed their high school education in Computer Science at Velammal Vidhyashram from 2013 to 2016. Dwaraknath then pursued a Bachelor of Technology degree at Manipal Institute of Technology from 2017 to 2021.