---
title: "Kaushik U. - GenAI Developer in Hyderabad | Tal"
description: "Meet Kaushik U., GenAI Developer @TCS | Agentic AI | RAG | AI Agents based in Hyderabad. AI stack includes claude code, hugging face, and langchain. Explore public work links including github."
image: "https://tal.club/meet/kaushik-urkude/share-image"
---

# Kaushik U\. on Tal

## Headline

GenAI Developer @TCS \| Agentic AI \| RAG \| AI Agents

## About

AI and NLP Engineer with strong experience in designing and deploying production\-grade intelligent systems\. I specialize in Natural Language Processing, Retrieval\-Augmented Generation \(RAG\), and Agentic AI workflows, with a focus on transforming unstructured data into reliable, explainable outcomes\. On the engineering side, I build scalable backend services using FastAPI, developing secure and high\-performance RESTful APIs for AI inference, orchestration, and data pipelines\. I have hands\-on experience integrating NLP models, vector databases, and workflow engines into end\-to\-end systems, emphasizing clean architecture, auditability, and performance\. I am driven by building robust AI platforms that seamlessly bridge research and real\-world deployment\. Skills • Languages: Python • AI/NLP: NLP, RAG, Intent Classification, Embeddings, Agentic AI • Backend: FastAPI, REST APIs, Async APIs • Databases: Vector Databases, SQL • Tools: Docker, Git, LangGraph • Deployment: API\-based Model Serving, Cloud\-ready Architectures

## Location

Hyderabad

## AI stack

claude code

hugging face

langchain

langgraph

mcp

openai

## Work experience

GenAI Developer at Tata Consultancy Services, Oct 2024 \- Aug 2026 · 1 yr 11 mos, Hyderabad, Telangana, India, KEY DELIVERABLES GenAI Email Automation & Tracker System • Developed a Python\-based system leveraging LangChain to process Outlook email threads and extract candidate data, automating the dynamic update of status trackers\. • Enabled intelligent parsing of unstructured data to detect status transitions \(e\.g\., Pending to Approved\), significantly reducing manual effort and increasing tracking accuracy\. Agentic AI Chatbot for Corporate Banking • Designed a chatbot to handle complex, policy\-driven queries in corporate banking, implementing RAG for accurate and regulation\-compliant responses\. • Utilized multi\-agent orchestration to provide explainable and auditable outputs, streamlining internal support and improving turnaround time for stakeholder inquiries\. KYC Compliance & Risk Automation • Built an automated KYC pipeline for high\-volume banking document verification, integrating real\-time image quality assessment and OCR confidence scoring\. • Implemented agentic logic to cross\-validate customer identities against regulatory blacklists while maintaining strict security protocols for sensitive Personally Identifiable Information \(PII\)\. Synthetic Data Generation Platform • Developed an AI\-powered synthetic data generation system to create realistic banking datasets while ensuring privacy, regulatory compliance, and business\-rule adherence\. • Automated data validation and consistency checks to generate high\-quality customer, transaction, and KYC records, reducing manual test\-data preparation effort and accelerating development and QA cycles\.

Teaching Assistant at Indian Institute Of Information Technology, Aug 2022 \- Aug 2024 · 2 yrs 1 mo

Student Intern at Nextgenhelper, May 2021 \- Jun 2021 · 2 mos, “Bioinformatics, Genomics, Machine learning, and Big data analysis”

## Education

M\.Tech, Indian Institute Of Information Technology allahabad

Bachelor's degree, Technology, Rashtrasant Tukadoji Maharaj Nagpur University, Nagpur

## Public links

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

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

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