---
title: "Raj Kalash Tiwari - System Engineer in Vadodara | Tal"
description: "Meet Raj Kalash Tiwari, AI Engineer | Building Agentic Workflows with LangGraph & RAG | Specialized in High-Performance Inference (Groq LPUs, vLLM) | Full-Stack (MERN) Software Engineer | Full Stack | Distributed Systems | Node.js & React based in Vadodara."
image: "https://tal.club/meet/raj-kalash-tiwari/share-image"
---

# Raj Kalash Tiwari on Tal

## Headline

AI Engineer \| Building Agentic Workflows with LangGraph & RAG \| Specialized in High\-Performance Inference \(Groq LPUs, vLLM\) \| Full\-Stack \(MERN\) Software Engineer \| Full Stack \| Distributed Systems \| Node\.js & React

## About

Building the next generation of autonomous systems\. I build AI systems that do more than just "chat\." As an engineer at the intersection of System Architecture and Generative AI, I specialize in transforming LLM research into production\-grade, autonomous agents\. My work focuses on building Agentic Workflows using LangGraph and optimizing RAG pipelines that prioritize precision and low\-latency performance\. Whether it’s architecting multi\-agent systems that reason through complex sub\-tasks or achieving 500\+ tokens/sec inference speeds using Groq LPUs, I am obsessed with the "Ops" in LLMOps—ensuring AI is scalable, grounded, and audit\-ready\. What I bring to the table: Foundational Rigor: GATE 2023 \(AIR 5690\) and 500\+ LeetCode problems solved\. Agentic Orchestration: Specialized in LangGraph, LangChain, and Agentic RAG\. Full\-Stack Performance: Expert in Python \(FastAPI/Django\), React, and SSE\-based real\-time streaming\. System Engineering: 2\.5\+ years at TCS managing Dockerized microservices and cloud\-native infrastructure\. As a Software Engineer with \~2 years of experience, I specialize in architecting high\-performance distributed systems and modern full\-stack applications\. At TCS, I led the migration of legacy monolithic architectures to Node\.js/React, successfully reducing page load latency by 40% and cutting network round\-trips by 30%\. I am a firm believer in strong CS fundamentals\. I ranked in the Top 5% of engineering graduates nationwide \(GATE 2023\) and have solved 500\+ problems on LeetCode, focusing on complex Graph Theory and Dynamic Programming\. Tech Stack: Languages: JavaScript \(ES6\+\), Python, C\+\+, Java, SQL Backend: Node\.js, Express, Flask, REST APIs, Redis, GCP Frontend: React, Angular, Redux, Tailwind CSS Productivity: Cursor, GitHub Copilot, Gemini, DeepSeek

## Location

Vadodara

## Work experience

System Engineer at Tata Consultancy Services, Nov 2023 \- Present · 2 yrs 6 mos, Gandhinagar, Gujarat, India, Architected and deployed an internal Generative AI Knowledge Base using a two\-stage RAG pipeline \(Retrieval\-Augmented Generation\) with Cross\-encoder reranking, improving search accuracy by 25% across enterprise data stores\. Engineered a real\-time analytics dashboard leveraging React and Server\-Sent Events \(SSE\) to handle streaming LLM responses, successfully reducing perceived UI latency by 40% for stakeholders\. Developed high\-throughput backend microservices using Python \(FastAPI\) and Asynchronous Task Queues \(Celery/Redis\) to process complex data pipelines for BFSI clients\. Built and maintained scalable infrastructure using Docker and Kubernetes, automating deployment workflows through CI/CD pipelines \(Jenkins/GitHub Actions\) to reduce production release cycles\. Integrated specialized data architectures, including Vector Databases \(Qdrant/Pinecone\) and relational systems \(PostgreSQL/MSSQL\), to support advanced information retrieval and stateful conversational agents\. Led the development of internal developer tools adopted by 3 separate business units, focusing on standardizing prompt engineering templates and RAG evaluation using the Ragas framework\. 🔹 Collaborated closely with cross\-functional teams including designers, product managers, and QA engineers to define project requirements, identify technical solutions, and ensure timely delivery of projects\. 🔹 Implemented best practices for code quality, performance optimization, and scalability, resulting in improved application performance and user satisfaction\. 🔹 Conducted code reviews, provided technical guidance, and mentored junior developers to foster a culture of continuous learning and professional growth within the team\. 🔹 Actively participated in Agile development processes, including sprint planning, daily stand\-ups, and retrospectives, to iterate and improve upon software development workflows\.

Academic Intern at Tata Consultancy Services, Feb 2023 \- Apr 2023 · 3 mos, Gandhinagar, Gujarat, India, As a Data Science Intern with a system engineering foundation, I bridge the gap between raw data and production\-ready AI\. I architect end\-to\-end pipelines—ingesting unstructured data into vector stores and optimizing RAG accuracy using the Ragas evaluation framework\. My core focus is designing autonomous agentic workflows with LangGraph, where I decompose complex business queries into executable tasks\.

Software Engineer Intern at Startup Hq, Jun 2022 \- Jul 2022 · 2 mos, Mumbai, Maharashtra, India, Worked on Ui/Ux, frontend and backend of website\. Also integrated Weather API and location API

## Education

Bachelor of Engineering \- BE, Computer Engineering, Government Engineering College, Dahod 018

Intermediate, Mathematics, Urmi School

[View the original profile](https://tal.club/meet/raj-kalash-tiwari)

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