AMIA Peer Reviewer

• Dec 2022 - Present

Machine Learning Researcher

• Nov 2017 - Present

• Working on NIH funded Machine Learning project to detect Diabetic Retinopathy using patients’ historic data • Followed HIPPA standards in Data extraction, cleaning, prepressing using Python(pandas, numpy etc) • Compare various Machine Learning classification models and chose a best one using R programming • Working on NIH funded Machine Learning project to detect Diabetic Retinopathy using patients’ historic data • Followed HIPPA standards in Data extraction, cleaning, prepressing using Python(pandas, numpy etc) • Compare various Machine Learning classification models and chose a best one using R programming

Data Engineering Fellow

• May 2020 - Jul 2020

• Built a pipeline to analyze which business sectors are most popularly trending in a given location, using S3 for storage and processed ~410 GB of data with Spark and saved results into PostgreSQL • Launched scalable Spark cluster and configured spark executors to process small files efficiently • Engineered Airflow spark batch job to ensure new data updates get ingested in a timely manner • Collaborated with fellows to configure high capacity Spark cluster, code optimization, and saved hours of configuration Show less

Software Engineer Consultant

• Sep 2016 - Oct 2017

Project: HDD Health Monitoring • Worked on a Big Data project called ‘HDD Health Monitoring’ to ingest millions of STB’s HDD data into HDFS. • Developed Hadoop MapRed jobs and scheduled them using Apache Oozie with the help of Apache Zookeeper. • Worked with Hortonworks Hadoop platform and Ambari to monitor flume, Namenode, gateway nodes, etc. • Created and Ingested avro files in HDFS at a rate of 120 GB/hour to simulate the real world use case • Troubleshot and monitored the logs to find the cause of the errors on Hadoop gateway node and flume. • Create Hive tables on top of Hadoop cluster, configured it to process output data and analyze them. • Raised an incidents of an issues using tool for Agile: JIRA and working with team to resolve them. Project: Voice Amazon Alexa • Capture the voice of the user & sends voice content to the Alexa service for processing, Alexa services passed relevant voice to text to AT&T and the request will proceed and executed by the targeted STB. • Worked with DevOps practices using AWS, Docker and Kubernetes. • Executed the performance scripts and assisted with the performance tuning for over 3.5M AT&T customers. Show less

System Programmer Student Assistant

• May 2015 - May 2016

• Working on existing projects of university using Asp.Net, VB.Net and MS SQL Server 2012. • Completed given tasks ahead of deadline, learned to work independently and in a group setting. • Collaborate with manager to accomplish the task of data migration and data cleaning using ETL tool–SSIS. • Developed automation bash scripts for day-to-day work to achieve desired goals. • Working on existing projects of university using Asp.Net, VB.Net and MS SQL Server 2012. • Completed given tasks ahead of deadline, learned to work independently and in a group setting. • Collaborate with manager to accomplish the task of data migration and data cleaning using ETL tool–SSIS. • Developed automation bash scripts for day-to-day work to achieve desired goals.

Software Engineer Intern

• Dec 2013 - May 2014

• Gathered Business Requirements and meeting different users for developing the application and developed Business requirement document and Technical design document. • conducted meetings and administered the new system after decision was made. • Configured MS SQL Server authentication using user groups & account profiles for security. • Implemented privacy features like user role management, folder management to provide user a secured view. • Gathered Business Requirements and meeting different users for developing the application and developed Business requirement document and Technical design document. • conducted meetings and administered the new system after decision was made. • Configured MS SQL Server authentication using user groups & account profiles for security. • Implemented privacy features like user role management, folder management to provide user a secured view.