---
title: "Swarnendu Banik - AI Engineer in Bengaluru | Tal"
description: "Meet Swarnendu Banik, AI @KPMG | Search & Retrieval · RAG · LLM Fine-tuning · Multi-Agent Systems | Research -​> Product | IEEE Published @ CAI 2026 | MTech IIIT Allahabad | Applied AI for Production based in Bengaluru. AI stack includes claude code, claude, and hugging face."
image: "https://tal.club/meet/swarnendu-banik/share-image"
---

# Swarnendu Banik on Tal

## Headline

AI @KPMG \| Search & Retrieval · RAG · LLM Fine\-tuning · Multi\-Agent Systems \| Research \-​> Product \| IEEE Published @ CAI 2026 \| MTech IIIT Allahabad \| Applied AI for Production

## About

I'm an AI Engineer at KPMG building production\-scale generative AI and RAG systems that solve complex enterprise problems\. My Expertise: LLM fine\-tuning \(LoRA, QLoRA\), retrieval\-augmented generation with semantic search, multi\-agent system orchestration, finding business gap and delevering ML solutions and transforming cutting\-edge research into deployment\-ready software\. My Journey: I completed my M\.Tech in Information Technology \(Machine Learning\) at IIIT Allahabad, before that worked at Cognizant on data science and NLP problem\-solving, and now at KPMG I develop end\-to\-end AI solutions, while actively contributing to open\-source projects in the AI/ML space\.​ What I'm Building: I believe production AI isn't just about accuracy—it's about interpretability, scalability, and responsible deployment\. I share insights on LLM optimization, RAG best practices, and lessons learned scaling AI systems from research to production\. Open to: Collaborating on open\-source AI projects, technical discussions about AI/ML systems, and connecting with engineers solving similar problems at scale\.

## Location

Bengaluru

## AI stack

claude code

claude

hugging face

langchain

langgraph

langsmith

## Work experience

AI Engineer at KPMG, Jul 2025 \- Present · 1 yr 3 mos, Bengaluru, Karnataka, India

AI Intern at KPMG, May 2025 \- Jun 2025 · 2 mos, Bengaluru, Karnataka, India

Project Research Associate at Indian Institute Of Information Technology Allahabad, Nov 2023 \- Jul 2025 · 1 yr 9 mos, Vision Transformers have transformed how we approach computer vision, yet a subtle limitation persists, attention mechanisms across layers operate independently, restricting how information flows through the network\. In HAViT, we tackle this with a cross\-layer attention propagation method that preserves and integrates historical attention matrices across encoder layers, enabling progressive refinement of attention patterns throughout the transformer hierarchy\. Preprint: https://lnkd\.in/gUBcfFuy Code: https://lnkd\.in/gYqGMWQ8

Senior System Engineer at Cognizant, May 2022 \- Sep 2023 · 1 yr 5 mos, Kolkata, Built production ML pipeline processing 100K\+ insurance claims using PySpark \-> reporting time reduced by 20 hours/week Developed ensemble prediction system \(XGBoost/LightGBM\) for 5K\+ daily claims with A/B testing \-> manual review reduced by 40% Engineered BERT\-based NLP pipeline for NER on 50K\+ unstructured documents \-> extraction accuracy \+12%

## Education

Master of Technology \- MTech, Information Technology\(Machine Learning\), Indian Institute Of Information Technology allahabad

Bachelor of Engineering \- BE, Electronics and Communication Engineering, Academy of Technology

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

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