● Responsible for Designing the architecture of Data processing Pipelines.
● Leading the team of Development.
● Worked on Aws Lambda , Aws Step function , Aws Event and Aws S3 .
● Worked on Terraform(Infrastructure as a code).
● Developed python script to process gigabytes of files.
● Responsible for Requirement gathering from client.
● Handling Problem Reports, daily tracking of production issues and First Level Analysis of tickets

● Developed CNN model to detect water level from satellite images of landmarks and stored it in Local Datacenter .
● Worked on Local Data Center at Deloitte to build and improve the performance of the Model.
● Researched and read technical papers to improve the performance of the model.
● Developed the CNN Models using python , tensorflow , scipy and matplotlib .
● Closely working with CTO and Other Master’s of Machine Learning .
● Member of Master’s of Machine Learning Guild(Internal group for Machine Learning Master’s and Research)

● Worked on Apache Kafka , Spark , HDFS and AWS for Log Processing and Storing.
● Worked on Aws (Amazon Web Service) cloud.
● Responsible for designing the architecture of Log processing Pipelines.
● Developed Python script to download the files from AWS s3 and push it to Kafka Topic .
● Developed Spark-Streaming job in scala for consuming messages from Kafka and writing it to HDFS .
● Developed Recommendation System of Samsung Smart Tv based on shows visits using Python, scipy, numpy ad scikit-Learn .
● Developed online Recommendation System for Smart TV using Spark-MLlib and pyspark .
● Created High Level Design documents.
● Participated in AWS Iot (Internet of things) Hackathon and proposed idea was selected as a winner.
● Handling Problem Reports, daily tracking of production issues and First Level Analysis of tickets.

● Developed Map Reduce job using java to process the files and storing it in HDFS .
● Worked on bugs and change request in existing batch job i.e Map Reduce job.
● Involved in Bug Fixing and Change Request .
● written unit test cases for the developed code using JUNIT and Mockito