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Mounika Kavadi

@mounikakavadi

AI Engineer at Capital One building RAG and AI agent workflows that automate financial-service tasks.

At Capital One, I develop AI-enabled backend applications and RAG systems for financial-services workflows. I built document ingestion and retrieval pipelines that reduced manual knowledge lookup effort by 30%, and developed AI agent workflows that connect LLMs with APIs, enterprise search, and business rules.

Previously, as a Software Engineer at LARSEN & TOUBRO (L&T), I developed backend applications, data pipelines, and machine learning models for enterprise workflows. I also supported Generative AI proof-of-concepts for document summarization and enterprise knowledge retrieval.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer

Current

Capital One

Dec 2024 - Present (1 year 10 months)

Designed and developed AI-enabled backend applications using Python, Java, Spring Boot, FastAPI, SQL, REST APIs, and AWS, improving processing efficiency across financial-services workflows. Built scalable microservices and API-based applications, reducing response latency by 20%.

Software Engineer

Larsen & Toubro

Jul 2021 - Jul 2024 (3 years)

Designed and developed backend applications using Python, Java, SQL, REST APIs, and relational databases, improving automation and data-processing efficiency across enterprise workflows. Built reusable Python-based data processing and automation modules using Pandas and NumPy, reducing manual data preparation effort by 30%.