T Venkatesan
Chennai
Summary
I am an experienced IT professional with 14 years of diverse expertise, currently focused on Generative AI development for the past 3 years. My recent work has involved tackling complex challenges in the AI domain, including the development of advanced systems such as Retrieval-Augmented Generation (RAG) and Agentic AI solutions. I am now seeking a role where I can leverage my skills to drive innovation and contribute meaningfully to organizational objectives, while continuing to grow within the rapidly evolving field of artificial intelligence.
Overview
15
15
years of professional experience
1
1
Certification
Work History
GEN AI Engineer
Cognizant Technology Solutions
04.2022 - Current
- As part of this project, I contributed to the development of multiple Generative AI proof-of-concepts (POCs) on both Google Cloud Platform (GCP) and Microsoft Azure.
- POC 1 Overview: Fraudulent Claim Detection
- Objective: To determine whether a submitted claim falls under one of three predefined categories of fraud.
- Key highlights: Developed a solution that reads and interprets medical records associated with each claim using LLMs.
- Integrated the solution with Big Query on GCP to query and retrieve claim data efficiently.
- Leveraged LLMs and Implemented logical frameworks to assess and classify claims as fraudulent based on the retrieved data.
- POC 2 Overview: Chat bot to book Flight and Hotels ( Agentic AI )
- Objective: To create a chatbot capable of facilitating flight and hotel bookings.
- Key highlights: Utilized LangChain and LangGraph frameworks to architect and orchestrate multiple autonomous agents.
- The application intelligently parses the user's query to extract essential booking details.
- If any required information is missing, it proactively prompts the user to provide it.
- Based on the complete input, the system retrieves and presents a curated list of available flights or hotels, streamlining the booking process.
- POC 3 Overview : Application to check whether a claim is prior authorized.
- Objective: To create an application to check whether a claim is prior authorized and confirms to the provided conditions.
- Key highlights: Different agents are created to extract and store data related to Insurance, Drug, Client details and to read the prescription.
- The data are embedded and stored in Vector DBs and retrieved using RAG framework to answer user queries related to the claims.
- Each agent is invoked sequentially to retrieve the relevant data, and a final agent is invoked to check business conditions are met to approve the claim.
Cloud Engineer
Cognizant Technology Solutions
03.2020 - 01.2022
- As part of this project, I contributed to support the GCP pipelines that replicate the data from on-premises systems to Google cloud platforms.
- Key Highlights: Worked on deduplication of the data in spanner. Defining the process and check points to ensure that the resulting data void of duplicates.
- Set up new pipelines to load data from cloud SQL to Bigquery of GCP using cloud datafusion tool.
Informatica Developer
Cognizant Technology Solutions
07.2017 - 02.2020
- As part of this project, I contributed to the following area.
- Upgraded informatica from 10.2 to 10.4. This involved preparing the test cases and doing the regression testing to ensure that the upgrade doesn’t affect any application.
- To load data from Aclara which is a system planned to be decommissioned into snowflake.
Informatica Developer
Cognizant Technology Solutions
07.2014 - 06.2017
- The aim of the project is to take care of all the applications under ZTH Information that are live in production.
- Key Highlights: Ability in providing, building and implementing the permanent solution for the problems there by avoiding them to happen again in the environment.
- Reviewed design of every application that are going to be developed and deployed into the production environment and provided comments on the approach to improvise the design.
Informatica Developer
Tata Consultancy Services
12.2010 - 07.2014
- Objective: To replace the regional data warehouses and to provide an integrated data warehouse to meet the reporting and analysis of customer information.
- Key Highlights: Created new mappings and updating old mappings according to changes in Business Logic.
- Created Proof of concepts for various ETL scenarios and requirements.
- Extracting data from various sources involving flat files and relational tables.
Education
B.E - Computer Science
RMK Engineering College
05.2010
Skills
- GEN AI
- Python
- GCP
- Azure
- Langgraph
- LangChain
- SQL
- Docker
- VS Code
- Git Hub
- Linux/Unix
- Windows
- Analytical Thinking
- Problem-Solving
- Communication
- Team Collaboration
Certification
Google Cloud Professional Machine Learning Engineer
Languages
English
Tamil
Hobbies and Interests
- Playing Cricket and Chess
- Reading books
Key Highlights
- Hands-on Experience in multiple GenAI POCs.
- Experienced in Agentic AI frameworks LangChain and Langgraph.
- Experienced in leading cloud platforms GCP and Azure.
- Experienced in containerization tool Docker.
- Experienced in IDE coding tool VS Code and Code sharing platform GitHub.
- Knowledge in Data science and Machine Learning Concepts EDA, feature engineering, evaluating the created models and tuning the hyperparameters.
- Knowledge in different Machine Learning algorithms such as KNNs, Naïve Bayes, support vector machines, Random Forest, XG Boost.
- Understanding in Neural networks, CNNs and RNNs.
- Experience in leading the team to complete the deliverables.
Timeline
GEN AI Engineer
Cognizant Technology Solutions
04.2022 - Current
Cloud Engineer
Cognizant Technology Solutions
03.2020 - 01.2022
Informatica Developer
Cognizant Technology Solutions
07.2017 - 02.2020
Informatica Developer
Cognizant Technology Solutions
07.2014 - 06.2017
Informatica Developer
Tata Consultancy Services
12.2010 - 07.2014
B.E - Computer Science
RMK Engineering College