---
title: "Tanuj Sengar - Senior Developer in Bengaluru | Tal"
description: "Meet Tanuj Sengar, SDE-II | Backend Engineer + AI Engineer | Kafka • Spring Boot • Spring Batch • ML • NLP • Generative AI • LangChain • Bedrock • Pinecone • Neo4j • LangGraph • RAG • MCP • HuggingFace • SageMaker • Agentcore • N8N based in Bengaluru. AI stack includes kiro, langchain, and langgrap..."
image: "https://tal.club/meet/tanuj-sengar/share-image"
---

# Tanuj Sengar on Tal

## Headline

SDE\-II \| Backend Engineer \+ AI Engineer \| Kafka • Spring Boot • Spring Batch • ML • NLP • Generative AI • LangChain • Bedrock • Pinecone • Neo4j • LangGraph • RAG • MCP • HuggingFace • SageMaker • Agentcore • N8N

## About

I’m a Backend Engineer turned AI Engineer with over a decade of experience building high\-throughput, enterprise\-grade systems across aviation, finance, and e\-commerce\. My expertise spans Java, Spring Boot, Kafka, and distributed systems, having led mission\-critical platform migrations, implemented SAGA\-based architectures, and built orchestration frameworks for real\-time data pipelines\. My engineering approach balances performance, fault\-tolerance, and maintainability at scale\. Over the last few years, I’ve transitioned into the AI/ML landscape—focusing on real\-world, production\-grade generative AI applications\. My most recent project involved architecting a 3\-stage Agentic RAG Automation Framework designed to power intelligent automation for technical operations\. This included building a RAG chatbot that retrieves SOPs from SharePoint using LangChain and LangGraph with Pinecone and ChromaDB vector stores\. I engineered a secure and ACL\-aware retrieval layer that merges semantic and keyword\-based search with policy\-grounded response generation\. In Stage 2 of the project, I developed an LLM\-based email agent that classifies Outlook emails, extracts relevant entities \(service, severity, error codes\), and creates or updates ServiceNow tickets—all gated by deterministic policy logic via OPA and JsonLogic\. Stage 3 introduced automated CI/CD execution after Agility approval, using AWS Bedrock \(Claude, Titan\) to ensure that pre/post checks, rollback conditions, and risk assessments were satisfied before pipeline triggers\. All operations were logged in a tamper\-evident audit ledger with full observability\. This system leverages a robust stack including FastAPI, Neo4j for graph\-based routing, Redis, Postgres, Terraform, GitLab CI/CD, Kubernetes, SageMaker, and Azure AD\. It is optimized for safety, latency, RBAC filtering, and cost\-efficiency, making it enterprise\-ready\. I’m passionate about bridging backend reliability with intelligent agentic automation\. I’m currently preparing for the AWS Certified AI Practitioner exam to further formalize my expertise\. My goal is to contribute to platforms—whether at FAANG or in high\-growth startups—where cloud\-native systems and AI\-native capabilities work together to deliver powerful, intelligent products at scale\.

## Location

Bengaluru

## AI stack

kiro

langchain

langgraph

langsmith

mcp

vLLM

## Work experience

Senior Developer at Delta Air Lines, Aug 2022 \- Present · 4 yrs 1 mo, Bengaluru, Karnataka, India

Software Developer at Oracle, Feb 2020 \- Aug 2022 · 2 yrs 7 mos, Bengaluru, Karnataka, India

Senior Software Engineer at Mindtree, Apr 2018 \- Feb 2020 · 1 yr 11 mos, Bengaluru, Karnataka, India

Programmer Analyst at Cognizant, Apr 2016 \- Apr 2018 · 2 yrs 1 mo, Bengaluru, Karnataka, India

## Education

Bachelor of Technology \(B\.Tech\.\), Computer Software Engineering, Inderprastha Engineering College

AISSCE, RLVM

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

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