---
title: "kartik Marwari - AI Engineer | GenAI & RAG Systems | Full Stack Dev (React/Node/MongoDB) | Multi-Agent LLM Pipelines | Building Production-Grade AI Apps | CS @ JIIT ’28 in Noida | Tal"
description: "Meet kartik Marwari, AI Engineer | GenAI & RAG Systems | Full Stack Dev (React/Node/MongoDB) | Multi-Agent LLM Pipelines | Building Production-Grade AI Apps | CS @ JIIT ’28 based in Noida."
image: "https://tal.club/meet/kartik-41/share-image"
---

# kartik Marwari on Tal

## Headline

AI Engineer \| GenAI & RAG Systems \| Full Stack Dev \(React/Node/MongoDB\) \| Multi\-Agent LLM Pipelines \| Building Production\-Grade AI Apps \| CS @ JIIT ’28

## About

Most students learn AI by watching tutorials\. I learn it by shipping systems that break, fixing them, and shipping again\. I'm a Computer Science undergrad at JIIT who builds production\-style AI applications — not toy chatbots\. My work sits at the intersection of GenAI architecture and full\-stack engineering: multi\-agent pipelines that research and write reports on their own, RAG systems that turn hours of meeting audio into searchable knowledge, and automation agents that triage business workflows without a human in the loop\. A few things I've built: 🔹 RecapAI — A 6\-stage audio intelligence pipeline \(ingestion → transcription → summarization → extraction → RAG indexing → chat\) that converts meetings, calls, and YouTube links into queryable insights\. Dual\-engine transcription \(Whisper \+ Sarvam AI\) supports bilingual Hindi\-English speech\. Fault\-tolerant, chunk\-level recovery ensures one bad audio segment never kills a full run\. 🔹 Autonomous Multi\-Agent Research System — A 6\-agent architecture \(Splitter → Search → Reader → Planner → Writer → Critic\) that decomposes a research question, retrieves and cleans web sources in parallel via Tavily, and self\-critiques its own output before finalizing a cited report — closing the feedback loop without human review\. 🔹 AI Expense Tracker — Full\-stack \(React/Node/MongoDB\) app with JWT auth, receipt\-image parsing, and Gemini\-powered personalized budgeting insights generated directly from transaction history\. 🔹 AI Feedback Automation Agent — n8n \+ Gemini pipeline that classifies incoming customer feedback and auto\-routes it across Slack/email/Airtable — zero manual triage\. I've also completed JPMorgan Chase's Software Engineering Job Simulation \(Kafka, Spring Boot, Spring Data JPA\) and solved 150\+ DSA problems on LeetCode\. Currently deepening my skills in production ML systems and agentic AI architecture, and actively looking for AI/Software Engineering internships where I can build things that matter from day one\. 📩 Open to internships, collaborations, and interesting technical conversations — feel free to connect or DM\.

## Location

Noida

## Education

Bachelor of Engineering, Computer Science, jaypee institute of information technology

[View the original profile](https://tal.club/meet/kartik-41)

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