---
title: "Papiya Mazumder - Senior Analyst - AI/ML Engineer in Bengaluru | Tal"
description: "Meet Papiya Mazumder, AI Engineer @ CG | Generative AI | LLMs | RAG | Agentic AI | Python & FastAPI | ML & NLP | Azure Cloud Deployment | Building production-grade scalable AI Solutions | Serving Notice Period based in Bengaluru. AI stack includes cursor, langchain, and langgraph."
image: "https://tal.club/meet/papiya-mazumder/share-image"
---

# Papiya Mazumder on Tal

## Headline

AI Engineer @ CG \| Generative AI \| LLMs \| RAG \| Agentic AI \| Python & FastAPI \| ML & NLP \| Azure Cloud Deployment \| Building production\-grade scalable AI Solutions \| Serving Notice Period

## About

AI/ML Engineer with 2\.5\+ years of experience building and deploying production\-grade Generative AI and AI\-native applications for enterprise clients on Azure and AWS\. 🧠 Scope of work: Designed Hierarchical multi\-agent systems \(LangChain, AutoGen, CrewAI\), enterprise RAG pipelines \(Pinecone, FAISS, Azure AI Search, LlamaIndex\), Model Routing \(OpenAI GPT, Claude, Llama models\), LLM fine\-tuning \(LoRA/PEFT\), ML models, AI Solution Architecture, and production\-grade API services \(FastAPI, Flask\) — deployed on Azure with CI/CD, LangSmith observability, and RAGAS/DeepEval evaluation frameworks\. 📈 Business Impact: • Reduced operational overhead by 60% through multi\-agent orchestration • Improved retrieval accuracy by 75% over BM25 baseline in enterprise RAG systems • Reduced inference latency by 30% using intelligent LLM routing strategies • Reduced regression issues by 33% under peak production load • Achieved 18% classification uplift over zero\-shot GPT\-3\.5\-turbo using LoRA fine\-tuning • Implemented RAGAS\-based RAG evaluation, LangSmith observability, and guardrails to reduce PII exposure and sensitive data leakage in production AI workflows ⚙️ Technical Expertise: LangGraph · LangChain · AutoGen · CrewAI · Pinecone · FAISS · Azure AI Search · LlamaIndex · LoRA/PEFT · FastAPI · Flask · LangSmith · RAGAS · DeepEval · Guardrails AI · MLflow · Docker · Kubernetes · AKS · CI/CD · Azure OpenAI · OpenAI · Claude APIs · Hugging Face · PyTorch · XGBoost · vLLM · MCP 🎓 Certifications: Azure AI Engineer Associate \(AI\-102\) · Azure Fundamentals \(AZ\-900\) · Google Cloud Generative AI 📍 Bengaluru, India \| Open to: AI/ML Engineer · Applied AI Engineer · Agentic AI Engineer · GenAI Engineer · LLM Engineer · AI Solutions Engineer ✅ Open to Onsite · Hybrid · Remote opportunities Feel free to connect for relevant opportunities, collaborations, or AI engineering discussions\.

## Location

Bengaluru

## AI stack

cursor

langchain

langgraph

openai

## Work experience

Senior Analyst \- AI/ML Engineer at Capgemini, Oct 2025 \- Present · 9 mos, Bengaluru, Karnataka, India, Engineered production\-grade Generative AI, LLM, and ML solutions for US\-based enterprise clients across business\-critical domains \| Designed and deployed Agentic AI and RAG\-based architectures for intelligent automation, reasoning, and enterprise decision workflows \| Collaborated with cross\-functional stakeholders to enable large\-scale AI adoption across business functions and processes \| Built scalable, API\-driven AI systems using Python, FastAPI, and cloud\-native architectures with Azure \| Optimized LLM pipelines and retrieval systems achieving up to 30% reduction in inference cost, 70% improvement in retrieval accuracy, and 33% reduction in production regression issues \| Delivered end\-to\-end GenAI solutions covering orchestration, context engineering, evaluation, observability, and deployment aligned with enterprise\-scale performance and reliability requirements\.

Analyst \- Software Engineer at Capgemini, Dec 2023 \- Sep 2025 · 1 yr 10 mos, Hybrid, Worked as AI Python Engineer across multiple client projects \| Developed backend services and APIs using Python and FastAPI for enterprise applications \| Contributed to data processing workflows, API integrations, and system automation components \| Supported in testing, validation, and deployment activities in production environments \| Gained hands\-on exposure to AI/ML systems, LLM\-based applications, and cloud\-based deployments\.

## Education

Bachelor of Technology, Amity University Kolkata

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

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