About Me

Hi,
I'm a data enthusiast working with parallel computing applying Deep Learning and Machine Learning concepts for parallelization over CPU and GPU environments. I've had training on Big Data and analytics along with visualization tech... and GPU environments. I've had training on Big Data and analytics along with visualization techniques.
Hands-on Deep Learning frameworks on the cross-architecture platform and scalable environment. Also, I've worked on Docker, Singularity, Kubernetes, Cloud, Amazon S3 buckets, and EC2 instances. Knowledge of web framework in Python viz. Django and Flask.
Besides these skill sets, I've worked on HPC and DL  application porting and installing them on cluster environments, Job Schedulers, System Administration, Automation through shell and Python scripting, Intel HPC, and Base toolkit, CUDA integration in Python. During my college days, I've worked on Embedded Systems as well, but in the recent past, I lost some touch, but will surely be excited to recall and work on it.
I'm looking for a job in the field of Artificial Intelligence and with these skills, I'm sure to cater to the need of the organization and encounter challenging environments, and deliver up to the mark submission. I've worked on projects applying concepts of Deep Learning along with code optimization and parallelism on GPGPU's. Also, I've handled Big Data using ETL tools. Currently, I'm working in the High-Performance Computing-Applications team, which is a part of the Indian National Supercomputing Mission.