Key Achievements:

Optimized Contract Synchronization Workflow

• Replaced an unstable workflow syncing contract information between Salesforce and the AlertMedia database with a reliable, daily Django task.

• Achieved synchronization for over 4000+ clients without requiring any changes to the existing database schema, ensuring minimal disruption to the current infrastructure.

Pivotal Role in AlertMedia Travel Risk Management

• Led the design and implementation of database schemas and RESTful API endpoints for the new AlertMedia Travel Risk Management product.

• Integrated 7+ third-party travel systems, implementing AWS Lambda functions/APIs to handle incoming data.

• Successfully managed the ingestion of thousands of travel records daily, contributing to the product generating millions in revenue last year.

Innovative AI Solutions Using Langchain

• Spearheaded a hackathon project utilizing Langchain to develop an AI-powered dynamic group filter.

• Enabled users to generate custom filters by simply describing their requirements, enhancing user experience and functionality.

• Authored effective AI prompts and demonstrated in-depth understanding of Langchain’s application within the project.

Playing a key senior software engineer role in infrastructure design and software development of HealtheCRM solution including its front-end client configuration tool component.

• Designed and developed batch data processing infrastructure that contained 14 pipelines for 16+ clients.

• Led the design and implementation of data processing integration test infrastructure for HealtheCRM solution.

• Developed HBase based data service which contained 10 endpoints that fetching millions of records.

• Developed RESTful API on Ruby on rails service for 5 services. One of those is pushing millions of records data from Cerner HealtheIntent Platform to 20+ Salesforce Health Cloud objects.

• Developed Ruby API Engine and React.js UI interface for HealtheCRM solution in Cerner HealtheIntent console tool. The tool is used by 16+ clients to make configurations setting for 7 entities.

• Hosted solution infrastructure knowledge for new team members in HealtheCRM team and mentored new software engineers in Cerner Dev Academy Program.

• Developed AWS Glue jobs to convert Avro data outputs to CSV formatted data.

• Broke down a giant pipeline into several small and entity specific pipelines. Reduced the memory usage from 14G down to 4G when running in cluster. Personally developed 3 out of 7 entities pipelines including generic Apache Crunch DoFns and Processors shared across pipelines.

• Modified a data processing pipeline to integrate with 3M third-party API jar in the and developed Potentially Preventable Readmissions (PPR) grouping function. Optimized algorithm in calling PPR logic and generated 10% more PPR outcomes.

• Designed data model for Operational Data Warehouse module. Developed a configurable pipeline to get the required operational data in CSV format. Integrated it with the main Apache Oozie workflows and created the weekly reports for over 80+ clients.

• Developed a configurable command to delete the redundant data in Hadoop File System (HDFS). Monthly cleaned up GBs data in HDFS across different environments and regions.

• Migrated Java RESTful API calls from running ETL pipelines to Ruby script that can be used in release process. Reduced data processing time for 80+ clients.

• Distributed 1 Jenkins job into 4 parallel running Jenkins jobs and saved up 50%+ running time in total.

• Developed 20+ Apache Crunch DoFns and MapFns which was modifying data frame in ETL process.

• Onboarded 30+ clients with customized configuration setting. Created a checklist template and wiki that included all the steps for developers with consultants and it was being used in on-boarding process afterwards.

• Provided suggestions for professor in terms of selecting programming environment, implementing Hadoop cluster and sample application explanation.

• Documented the instruction of installing Hadoop programming environment locally and using Amazon Web Service (AWS).

• Designed and created Java based MapReduce programming assignments.