Rohit Katiyar

AI / Machine Learning Engineer at Postman

11+ years in software engineering and 6+ in applied AI. I take AI projects from prototype to production: conversational AI, knowledge graphs, RAG and LLM-powered systems on AWS and GCP.

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Rohit Katiyar, with focus areas: LLMs and RAG, knowledge graphs, conversational AI, MCP and AI infrastructure, MLOps, Golang and Python RK LLMs & RAG Knowledge graphs Conversational AI MCP & AI infrastructure MLOps Golang & Python
40M+

developers on the platform where I built Postman's multi-protocol Cloud Agent service

3,000+

enterprise customers served by the conversational AI platform I led at Cisco

Minutes

to resolve customer issues that used to take from 3 hours to a week

Experience

  1. Software Engineer, Postman

    San Francisco, CA. Dec 2024 to present

    • Architected a Golang multiplexing service for Postman's Cloud Agent, extending web-based request execution beyond HTTP to MCP, AI provider calls, MQTT, gRPC, WebSocket and Socket.IO.
    • Enhanced backend services for multi-protocol history and package storage in TypeScript and Node.js.
    • Contributed to the scalability and reliability of production services behind Postman's developer platform.
    GolangTypeScriptNode.jsMCPMicroservices

  2. Data Engineer / Software Engineer, Cisco

    San Jose, CA. Sep 2019 to Oct 2024

    • Led an enterprise conversational AI platform on Dialogflow, Voiceflow and AWS Lex for 3,000+ US customers, cutting issue resolution from hours or days to minutes.
    • Built an AI observability and feedback platform for conversation validation, quality measurement and continuous model improvement.
    • Designed knowledge-graph question answering with Neo4j, AWS Neptune, SPARQL, Cypher and RDF/OWL ontologies.
    • Built LLM semantic search and RAG over product documentation and support data, plus an internal AI agents platform on the OpenAI SDK.
    • Won the XDI Hackathon 2022 and placed second at the CXP Hackathon 2023.
    PythonJavaLLMsRAGLangChainNeo4jAWSGCP

  3. Software Engineer, Valiantica

    San Jose, CA. Apr 2018 to Jul 2019

    • Built semantic search and question-answering systems on ontology-driven knowledge representations.
    • Developed a data collaboration web app for project data management.
    NLPNeo4jKafkaElasticsearch

  4. Earlier roles

    2012 to 2017

    Graduate Teaching Assistant for Machine Learning, UNC Charlotte

    Senior Software Engineer, Capgemini, Pune: storage driver simulator in C++

    Software Engineer, Persistent Systems, Pune: foreign-exchange settlement systems in C/C++

Skills

AI and machine learning

LLMsRAGConversational AIKnowledge graphsPrompt engineeringNLPLangChainOpenAITransformersBERTPyTorchKerasscikit-learnspaCy

Conversational frameworks

AWS LexDialogflowVoiceflowRASAMindMeld

Cloud and MLOps

SageMakerLambdaECSVertex AICloud RunKubernetesDocker

Data and graphs

Neo4jAWS NeptuneRDF/OWLSPARQLCypherElasticsearchMongoDB

Languages and tools

PythonGolangJavaTypeScriptNode.jsC++FastAPIClaude CodeCursor

Education

M.S. Computer Science

University of North Carolina at Charlotte, 2017. GPA 3.9, concentration in Intelligent and Interactive Systems.

Reinforcement Learning certificate

Stanford University, 2023

B.Tech Computer Science

Uttar Pradesh Technical University, India, 2012