---
title: "Rashi Dubey - Artificial Intelligence Intern in India | Tal"
description: "Meet Rashi Dubey, AI @ Transbnk | Ex-EY GDS Technology Consulting | GenAI, Agentic AI, RAG & Multi-Agent Systems | Python, FastAPI, Azure based in India. AI stack includes antigravity, claude code, and codex. Explore public work links including github."
image: "https://tal.club/meet/rashi-dubey/share-image"
---

# Rashi Dubey on Tal

## Headline

AI @ Transbnk \| Ex\-EY GDS Technology Consulting \| GenAI, Agentic AI, RAG & Multi\-Agent Systems \| Python, FastAPI, Azure

## About

I build AI systems that can reason, retrieve information, interact with tools, and automate complex workflows\. Over the last few years, I've worked across Agentic AI, Multi\-Agent Systems, RAG architectures, workflow automation, and full\-stack development\. Most recently, I worked at EY GDS, where I developed multi\-agent AI workflows using Azure AI Foundry, FastAPI, Power Automate, and MCP\-compliant tool integrations\. I enjoy taking products from idea to deployment; designing architectures, building APIs, integrating LLMs, and creating user\-facing applications\. My core interests include: • Agentic AI & Multi\-Agent Systems • Generative AI & LLM Applications • Backend Engineering & System Design • Workflow Automation • Full\-Stack Product Development Currently looking for opportunities in AI Engineering, Software Engineering, and Applied AI where I can build impactful products and solve challenging technical problems\. Let's connect if you're building something interesting\! https://rashidubeyportfolio\.vercel\.app/

## Location

India

## AI stack

antigravity

claude code

codex

elevenlabs

grok

hugging face

## Work experience

Artificial Intelligence Intern at TBX \(formerly TransBnk\), Jul 2026 \- Present · 3 mos, Bengaluru, Karnataka, India

Consulting Intern at EY, Jan 2026 \- May 2026 · 5 mos, Hybrid, Built an end\-to\-end client POC, spanning a multi\-agent Python backend, FastAPI REST layer, and React dashboard\. Designed a multi\-agent orchestration pipeline using Microsoft Agent Framework with two specialized LLM agents \(using Azure AI Foundry\) coordinated by asyncio semaphores to process 25\+ customer accounts in parallel with per\-customer error isolation\. Engineered a policy\-driven recommendation engine reading from YAML\-based compliance config to enforce channel eligibility, contact cooldowns, and regulatory constraints across 3 risk tiers before any LLM involvement\. Built a Power Automate workflow integrated with SharePoint to automatically trigger and route outreach emails to customers based on AI\-generated recommendations, reducing manual intervention by 30% in the collections outreach process\. Implemented async batch processing with FastAPI and Azure Blob Storage with non\-blocking job execution, live progress polling, and Pydantic\-validated LLM outputs with automatic rule\-based fallbacks ensuring 100% response reliability\. Delivered end\-to\-end stakeholder demo covering agent architecture, guardrails design, PII masking strategy, latency optimization, and a Phase 2 roadmap\.

Software Engineer at Tuleip AI Solutions, Jan 2025 \- May 2025 · 5 mos, Designed UI/UX workflows in Figma and translated them into scalable front\-end interfaces using React\.js, Next\.js, and TailwindCSS, improving user engagement by 15%\. Executed AI workflow automation pipelines using n8n, orchestrating backend services and data processing pipelines, reducing manual ops and improving dev velocity\. Built RAG\-based LLM pipelines using Supabase vector storage for real\-time document retrieval, improving processing efficiency by 25%\. Engineered API\-driven architecture, enabling seamless integration across AI, frontend, and backend layers\. Optimized component architecture and state management for scalability and maintainability\.

## Education

Bachelor of Technology \- BTech, Computer Science Engineering \(with specialisation in Artificial Intelligence and Machine Learning\), Vellore Institute of Technology

mahadevi birla shishu vihar

## Public links

- github: https://github\.com/rashidubey03

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

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