---
title: "Kartik Neti - Product Associate - Data engineering, AI/ML Solutions in Hyderabad | Tal"
description: "Meet Kartik Neti, Product at JPMC | Ex-Amazon Tech based in Hyderabad. AI stack includes antigravity, codex, and gemini. Explore public work links including github."
image: "https://tal.club/meet/kartik-neti/share-image"
---

# Kartik Neti on Tal

## Headline

Product at JPMC \| Ex\-Amazon Tech

## About

Always looking forward to working on exciting things; usually offbeat\. Innovating, rebuilding and aspiring to help a million people\. Working on business ideas \- open to suggestions and collaborations\. Trying to make a mark and making it remarkable\. Have lead teams \- big teams, small teams, creative teams and other sorts\. Made a difference\. In the learning phase, trying to adopt and observe\. Also interested in Journalism, Politics, History, Tech, Books and comedy\.

## Location

Hyderabad

## AI stack

antigravity

codex

gemini

github copilot

mcp

notion

## Work experience

Product Associate \- Data engineering, AI/ML Solutions at JPMorganChase, Jan 2026 \- Present · 9 mos, Hyderabad, Telangana, India, tl;dr \- basically Data Product \+ human \+ AI interface ➤ Charter 1: AI Data Products & Infrastructure • Building a "brain" for the bank’s data by creating a central ontology layer\. I'm moving us away from messy tables to a system of "Objects and Links" so our AI models actually understand the relationships between data points\. • Designing an automated data tracking system using OpenLineage and DataHub to map how data moves through thousands of pipelines, ensuring our AI agents always pull the right information from the right source\. ➤ Charter 2: Product Growth & User Experience • Delivered $15M\+ in business value by identifying friction points in the user journey and using data\-driven nudges to keep people moving through the funnel\. We call these data points, "Signals"\. • I track these signals to see how users interact with our products at every step to drive retention, knowing that even a 1% lift translates to $300K in NPV\. That's how $15M was possible\. Crazy, ik\.

Business Intelligence Engineer at Amazon, Jul 2024 \- Jan 2026 · 1 yr 7 mos, Bengaluru, Karnataka, India, Realised how systems work at scale\. How my work directly affects the products\. Learned how to decide what things to work on, and most importantly, what to not work upon\. Learned how things break in a massive scale systems here\. Understood how little I know :\) Work was a mix of Data Engineering, Business Intelligence, Dashboarding and Analytics\. Was able to save amazon a bit of money\. Worked on projects that decided the right guardrails to run promotions on Amazon\.com Projects that went on to improve Amazon's competitiveness against their competitors across the globe\. Created and designed metrics that helped tracking of priorities easy\. Also designed an automation system that massively improved internal auditing of pricing of products on Amazon\.com

Developer at Tata Consultancy Services, Jun 2021 \- Jul 2024 · 3 yrs 2 mos, Lots of data\. Even more migration\. Analysis and optimization of data systems\. Collected and acquired foundational data knowledge here\. From ERP solutions to data products to data governance\. Learnt data engineering and business analytics as core skills\. Learned how to manage products and stakeholders because of the client facing work\.

Systems Engineer at Tata Consultancy Services, Apr 2021 \- Jul 2024 · 3 yrs 4 mos, Hyderabad, Telangana, India

Business Operations Specialist at Amazon, Jan 2021 \- Apr 2021 · 4 mos, India

Editor In Chief at CEA, Sep 2018 \- Mar 2019 · 7 mos, India, Started and worked as the Editor in Chief of a University magazine called Unison for a social service organisation in the institute\.

## Education

Bachelor of Technology \- BTech, Electronics and Communications Engineering, kl university

## Public links

- github: https://github\.com/Kartikist

[View the original profile](https://tal.club/meet/kartik-neti)

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