• Manage an open source ChatGPT project. Experience with LLM & automation on various projects.• Replicated database tables from on-prem to the cloud using Attunity (qlik) & AWS DMS. Used Attunity API and boto3 to automate the deployment process. Worked with DBA to configured the Attunity Enterprise Manager to enable SSL.• Performed various POCs on data ingestion with AWS datalab team using EMR, pyspark, Glue ETL, Glue crawler, boto3, Athena, Apache Hudi.• Led the data ingestion team and architected a custom data ingestion pipeline using pyspark, Redis and EMR to process & cleanse data which will be consumed by downstream consumers.• Orchestrated the scheduling services using Control-m and later we converted them to AWS Managed Airflow to speed-up the development and deployment cycles.• Implemented Elastic Search backup and restore process through Airflow DAGs.• Tuned existing EMR using various calculation logic to improve performance and cost.• Implement a custom logic to report EMR cost per cluster id per AWS acct and notify teams. It also has ability to deflate the EMRs based on specific algorithms.• Implement a custom logic for airflow & RDS to dynamically scale when loading large amount of data. It saves company thousands dollars monthly.• Use Django (python, javascript, CSS & etc) to create a customizable web based application to synchronized Data manangement tool.• Setup and configure AWS bedrock to test out number of LLM models using different prompt engineering technique via boto3.• Experience on OpenAI, Co-pilot, midjourney & LLM models.

• Implemented a Java web service to compute MPT status which is a standard financial and academic methodology used for assessing the performance of equity, fixed-income and mutual fund investments by comparing them to market benchmarks.• Designed & built a Factset Parser using .Net to parse ~5000 excel unstructured reports and load them to database. Led a team of Informatica consultants with enterprise architecture to implement an equity performance attribution capability presented in website and client material.• Built various custom reports for portfolio managers using Apache POI & VBA/.Net.• Collaborated around a java application which used YML + reflection to handle various vendors (Barclays, JPMorgan, MSCI, Rimes, Russell, RussFTSE, SP & etc), extract, transform, load data to AWS, and create JSON & AMQ messages. Utilized elastic beanstalk, RDS for postgreSql, and S3.• Implemented an automation process using Python & Anaconda to extract ESG (data environmental, social, and governance) raw data, perform various calculations & ratings for portfolio manager to make investor demand driven trading decisions. Used various web technologies (Flask, Django & React) to prototype a web interface to run Python codes to simplify users experience.• Prototyped a java application using Apache Camel to process Rimes files, perform lookup, create simple, blended & bootstrap benchmarks, and insert to database.• Implemented Top Sales reports using Salesforce Visual Force page with JQuery Mobile framework. Enhanced Open Source ForcePad app using objective-C on OSX Mountain Lion.• Assisted Marketing Team on Morningstar Analyst Ratings Informatica workflow implementation.

• Architected & implemented a framework to support Adobe Flex automation. It is utilized arrays, data dictionary, custom functions, & custom classes. Custom libraries are integrated with Quality Center & RunTestSet program in C++. Mentored team members.• Implemented many utility programs using various languages which are including VB, VB.Net, C#, Java, xCode. They are for web services testing, automated status reports, QALab website, iPhone app, IE-Crashed-monitor plug-in, QC bridge(ActiveX), centralized defect workflow, QC custom reports.• Researched & compared various automation tools: Sikuli, EggPlant, Flex Pilot, Selenium & etc.• Performance Test using Loadrunner on the various applications with various protocols.