Data Science Intern at Bayer Crop Science, Innovation Center, UIUC
Topic: Developing automated techniques to build information mining tools using deep learning models
Details:
Automated the process of generating information extraction tools (dictionaries, thesauri, etc) for the IP Intelligence Organization team.
Hands on experience building deep learning models with CNN, LSTM architectures to develop these tools.
Tools: Pytorch, NTLK, Spacy, Scispacy
Research Intern at Mitsubishi Electric Research Laboratories (MERL)
Topic: GPU Accelerated Algorithms for large scale optimal transport problems
Details:
Implemented scalable GPU based algorithms for large scale optimal transport problem with application in imaging of moving deformable targets.
Equipped to handle sparse and dense matrices on both CPUs and GPUs.
The computation time was reduced (in comparison with the baseline CPU implementations) by order of magnitude.
Tools: Pytorch, Scipy