April 2017 – Present

Roles and Resonsibilites:

Led the development and implementation of advanced Generative AI and NLP solutions, leveraging Large Language Models (LLMs) to deliver innovative services to clients. Expertly researched and applied state-of- the-art techniques, demonstrating initiative and self-sufficiency.

Spearheaded the full lifecycle of LLM solutions, encompassing Data Engineering and Prompt Engineering, to optimize user experiences. This included the design, tuning, deployment, and ongoing monitoring of solutions using cutting-edge frameworks such as RAG, underpinned by robust MLOps practices.

Working on extracting and analyzing data from various types of documents, including structured forms, semi- structured documents, and unstructured text. E.g. Invoices, form/reports etc.

Actively contributed to high-impact projects by building, scaling, and deploying machine learning models in cloud and on-premises environments, ensuring scalability and effective user adoption.

Building Machine models for FCCM find out the clients who have been into money laundering.

Build models for Threshold Optimizations for transaction monitoring.

Developing K-Means Clustering models for Customer segmentation and behavioral Pattern detection.

Platforms:

Proficient in OCI, Azure, AWS; AWS SageMaker and Bedrock.

Technologies:

Extensive hands-on experience with GPT-4.0, LLaMa, Mistral, RAG patterns, LangGraph, AI Agents, FastAPI

Oct 2015 – March 2017

Roles and Resonsibilites:

Big Data Analytical Tools engineering - install, validate, test, and package analytical tools on Red Hat Linux and Wintel platforms.
Publish and enforce Big Data Analytics Tools best practices, configuration recommendations, etc.

Create and publish design documents, usage patterns, and cookbooks for user community.

Partner with Citi sectors to solution analytical needs to large scale data problems.

Perform security and compliance assessment for Big Data Analytical Tools.

Provide SME and Level-3 technical Expertise.

Project: Sentiment Analysis on customer evolution in banking domain

Description:The purpose of the project is to store information generated by the bank’s historical data, extract meaning information out of it and based on the predict the customer’s category. The solution is based on the open source Big Data s/w Hadoop .The data will be stored in Hadoop file system and processed using Map/Reduce jobs for product and pricing information.
Role: Responsible to manage data coming from different sources.Involved in developing the Pig scripts.Handled importing of data from various data sources, performed transformation using Pig and Hive, loaded into HDFS and extracted the data from MySQL into HDFS using Sqoop.Developed the Sqoop scripts in order to make the interaction between Pig and MySQL Database.Written Hive queries for data analysis to meet business requirements. Creating Hive Table and working on them using HIVE QL.

Project: Report Analysis

Description: The purpose of this project is to analyze the sales of the different product experience to find (perform following analytics) out yearly sales reports, monthly sales for a particular year, quarterly, half yearly sales report for a particular year, Sales report by fiscal year, for different country, top sales for different country, comparing the quarterly report for different country, suggest the seller for different specific product and which product are like, dislike by the customer of different country.
Role: Responsible for extracting data from XML file and load into HDFS by using flume. Write Hive script to generate the desired report. Import and export the data from different source to different destination. Loaded the dataset into Hive tables and performed the required data analysis.

Roles and Resonsibilites:

Working in a Live Production environment as L2 Engineer, Managing Data Center Activities, Daily Tasks, patching, bouncing production system.
Remarkable in supporting UNIX production support environment, Expertise in analyzing and resolving production issues, monitoring/scheduling/start/stop database jobs, submission and troubleshooting of jobs. Modify/create UNIX shell scripting for automating the back-end processes. Creating, modifying, maintaining and optimizing SQL server database. Developed SQL scripts and complex queries.

Implemented techniques like backup and restore process for various databases.

Roles and Resonsibilites:

Working in a MIS team, responsible for the design, development, and implementation of automated reporting and efficiencies using MS Access.
Created a MS Access Database to house automated reports and data analysis. Wrote a Macro-enabled workbook in MS Excel that reduced user error and time spent completing the Repurchase Account notification form by over 50 percent.

Maintained and updated the MS Access and SQL Server Databases by running backups and tuning queries.

Used SQL to query financial data and produce reports for management.

Created VBA macros used to simplify routine tasks for end users