Rohith Ravi

Associate Software Engineer

Talent

Bengaluru, KarnatakaMember since 5 June 2026

PythonLangChainLangGraphLlama-IndexFastAPIReact.jsChromaDBFirebaseAgentic RAG

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PythonLangChainLangGraphLlama-IndexFastAPI

About

Pioneered an internal Agentic AI initiative to automate L1 triaging, developing a multi-agent system that autonomously categorizes and resolves IT incidents within a high-velocity environment. Architected a stateful orchestration layer using LangGraph and LangChain, implementing cyclic reasoning patterns to handle non-linear enterprise troubleshooting workflows. Accelerated development velocity by engineering a ServiceNow API mock using AWS Lambda, enabling isolated validation of tool-calling logic and rapid prototyping without production dependencies.

Experience

Associate Software Engineer - Tech Mahindra - Bengaluru, India

(2024-09)

Pioneered an internal Agentic AI initiative to automate L1 triaging, developing a multi-agent system that autonomously categorizes and resolves IT incidents within a high-velocity environment.
Architected a stateful orchestration layer using LangGraph and LangChain, implementing cyclic reasoning patterns to handle non-linear enterprise troubleshooting workflows.
Accelerated development velocity by engineering a ServiceNow API mock using AWS Lambda, enabling isolated validation of tool-calling logic and rapid prototyping without production dependencies.
Engineered the technical migration of microservices from Java 11 to Java 21/Spring Boot 3.5, refactoring legacy code and upgrading AWS SDK v1 to v2 to resolve critical dependency conflicts.
Developed a high-performance, zero-dependency analytics dashboard using Vanilla JavaScript to visualize ServiceNow incident data, significantly reducing reporting overhead for leadership.

Software Engineer Intern - Keyom.ai - Remote

(2023-11 - 2024-02)

Developed an Agentic RAG chatbot using Llama-Index and OpenAI GPT-3.5, enabling intelligent semantic search and document retrieval for high-volume PDF datasets.
Utilized AWS SageMaker and EC2 to build Python notebooks and applications showcasing the multi-modal capabilities of various LLMs for enterprise use cases.