Anusha Raykar

AI Engineer with hands-on experience building Generative AI and agentic AI applications using Python, LLMs, LangChain, LangGraph, RAG, MCP, FastAPI, and API integrations. Experienced in designing AI agents, retrieval-augmented generation pipelines, tool integrations, structured LLM workflows, and backend APIs. Strong understanding of conversational AI, prompt engineering, vector search, databases, asynchronous backend development, and production-oriented debugging.

Experienced in developing, testing, troubleshooting, and improving AI applications while collaborating with engineering teams.

AI Intern - Yellow.ai

(2025-09 - 2026-06)

• Worked on Generative AI and conversational AI applications, including chatbot, voice-bot, and WhatsApp conversational workflows.
• Built and worked with LLM-powered agentic workflows using Python, LangChain/LangGraph, prompt engineering, tool integrations, and structured outputs.
• Developed RAG-based workflows involving document processing, embeddings, retrieval, contextual augmentation, and LLM-based response generation.
• Integrated AI agents with external services and APIs using MCP/tool-based integrations to enable AI-driven workflows.
• Developed backend services and APIs using FastAPI, including asynchronous request handling and integration with AI workflows and external services.
• Worked with LLMs and API integrations, validating prompts, model responses, structured outputs, tool calls, and end-to-end agent behavior.
• Worked with databases and data retrieval workflows, including SQL/NoSQL data handling, vector search, and retrieval pipelines for AI applications.
• Contributed to improving AI application reliability through systematic debugging, defect analysis, workflow validation, and API testing.

Java Full Stack Development Trainee - KodNest

(2024-05 - 2025-07)

• Built foundational knowledge in Java, Python, SQL, OOP, REST APIs, and backend application development.
• Applied software development practices including SDLC, debugging, database operations, and API integration.
• Worked with application-development concepts and backend technologies through hands-on training and projects.

B.E. - Computer Science & Engineering - Government Engineering College, Karwar (2024)