---
title: "Asit Ghosh - SDE 1 in Greater Bengaluru Area | Tal"
description: "Meet Asit Ghosh, Agentic AI Engineer | Production LLM Systems & Multi-Agent Workflows | LangGraph | AI Automation based in Greater Bengaluru Area. AI stack includes langchain, langfuse, and langgraph."
image: "https://tal.club/meet/asit/share-image"
---

# Asit Ghosh on Tal

## Headline

Agentic AI Engineer \| Production LLM Systems & Multi\-Agent Workflows \| LangGraph \| AI Automation

## About

I am an AI Engineer specializing in agentic AI systems, multi\-agent workflows, and practical automation solutions that solve real business problems\. In my current role at Karbon Business, I work on building production\-grade AI systems across document processing, checklist generation, extraction, enrichment, and intelligent decisioning\. My experience includes designing asynchronous LLM workflows, tool\-calling systems, state management, validation pipelines, and fallback mechanisms to make AI systems reliable, scalable, and production\-ready\. I have worked on products such as FlowTAX and AI Accountant, where I helped build end\-to\-end pipelines for structured data extraction, historical data enrichment from Tally, and AI\-based accounting automation\. I focus strongly on deterministic\-first design, hybrid LLM \+ rule\-based approaches, and robust orchestration to improve accuracy, speed, and consistency\. I enjoy building systems that combine strong engineering fundamentals with modern AI capabilities to deliver measurable impact in automation, efficiency, and user experience\.

## Location

Greater Bengaluru Area

## AI stack

langchain

langfuse

langgraph

mcp

## Work experience

SDE 1 at Karbon Business, Aug 2025 \- Present · 11 mos, Bengaluru, In my current role as an AI Engineer, I build and deploy agentic AI systems for automation, including multi\-agent workflows for document processing and accounting use cases\. I design end\-to\-end pipelines covering extraction, enrichment using historical data \(Tally\), and structured output generation with deterministic and LLM\-based approaches\. I also focus on scalability and reliability by implementing async orchestration, validation, and fallback mechanisms in production systems\.

Generative AI Engineer at Karbon Business, Jun 2024 \- Aug 2025 · 1 yr 3 mos, FlowTAX — Multi\-Agent System for CPA Workflow Automation \(US Tax Filing\) •Designed and implemented a 5\-agent system \(checklist generator, doc classifier, data extractor, questionnaire generator, AI assistant\), taking ownership of checklist, classification, and extraction agents end\-to\-end\. •Reduced checklist generation from \~3 days \(manual CPA effort\) to <30 sec, while enabling document classification \(\~5 sec\) and bulk extraction \+ calculation \(\~100 sec\) using async parallel execution\. •Built event\-driven architecture using webhooks \+ Inngest for queueing, retries, long\-running workflows, and stateful multi\-step execution with tool\-calling\. •Implemented validation, recovery, and failure\-handling mechanisms to ensure consistency across agent workflows\.

## Education

B\.tech, CSE, Centurion University of Technology and Management

class xii, Science, NIST Higher Secondary School

[View the original profile](https://tal.club/meet/asit)

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