Inaganti Ruchitha

Innovative AI Engineer specializing in generative AI, LLM engineering, and MLOps. Designed and deployed LLM-powered applications and RAG pipelines on Azure. Developed advanced solutions like a multilingual knowledge assistant and an OCR + GPT-4 review system, creating production ready workflows that meet industry demands.

AI Software Engineer - Quantum AI Global

(2025-07)

• Architected and implemented an autonomous agent AI workflow using LangGraph state memory for multi-step reasoning, tool use, and automated shoot schedule generation with human-in-the-loop checkpoints.
• Built backend using FastAPI and integrated LLM capabilities via LangChain; developed prompt engineering frameworks and evaluated model outputs for quality, consistency, and safety across multi-turn workflows and implemented backend routes with Python following MRC (Model-Route-Controller) architecture.
• Designed and authored the Business Requirement Specification (BRS) for a film automatic scheduling which is an end-to-end AI-powered film production management platform; translated domain requirements into actionable AI solution designs following Agile/Scrum methodology.
• Designed and deployed a complete Leave Management System end-to-end: database, Python backend, Dockerized with docker-compose and Nginx reverse proxy, and deployed on-premise establishing repeatable CI/CD-aligned deployment practices for containerized applications.

AI Intern - SKF India Ltd.

(2024-09 - 2025-06)

• Compiled and finalized AI strategies across departments, translating business problems into actionable AI roadmaps aligned with governance, compliance, and regulatory standards.
• Designed and deployed a multilingual RAG pipeline on Azure built Azure AI Search based vector retrieval, multilingual chat API, video transcription, and document indexing pipelines to ground LLM outputs in enterprise knowledge bases.
• Built an autonomous Microsoft Copilot Studio agent that ingests monthly threat intelligence data from SharePoint, performs multi-turn Q&A, and applies guardrails for compliant, auditable responses.
• Integrated OCR + GPT-4o for document intelligence which automated extraction and validation of Purchase Order data with a Snowflake backend, directly analogous to claims/underwriting document processing workflows.
• Developed Python scripts for structured data extraction from PDFs into Excel, reducing manual effort.
• Enhanced road distance calculations using Azure Maps API.
• Designed a former-employee reconnection tool using similarity scoring (limited by LinkedIn API constraints).

M.Tech - Artificial Intelligence - Defence Institute of Advanced Technology (DIAT) (2025-01)

B. Tech - Computer Science & Engineering - Mahatma Gandhi Institute of Technology (2022-01)