Aashish Agarwal

- Working on creating a Speech to Text (STT) model using Keras and Deep Learning.

- Worked on Automatic Speech Recognition for the German Language for Red Hen Lab under Google Summer of Code program. - Worked on Data Preparation, Feature Extraction, Language Modelling and Acoustic Modelling using Kaldi. - Worked on transcribing real-time German news. - Worked on Singularity to deploy the pipeline on High Computing Clusters of Case University.

- Written REST based clients and agents using Spark, Spring Boot in JAVA and Python. - Worked on AWS, Google Cloud and IBM Bluemix. - Worked on Dockers and Kubernates. - Worked on continuous integration and deployment (CI/CD) pipeline to automatically build and deploy the code to production using Github, Travis, Jenkins, and GoCD. - Worked on analyzing and visualizing Big Data using ELK (Elastic Search, Logstash and Kibana). - Worked on site with Clients in Oslo, Norway for UAT and product hand-off.

- Worked extensively on AWS to create - Ec2, VPC’s, Load Balancers, Code Pipeline, DB etc - Worked on CI/CD using Jenkins for Test Automation. - Worked on building the Test Automation Framework in Java. - Worked extensively in Selenium. - Worked on understanding business use cases, creating presentations and demonstrating to teams.

Machine Learning, Deep Learning

Grade: 1,9