Ramya

Senior Engineer - Integrations and Applied AI

Apex Neural

Ramya is a Senior Engineer with over 12 years of experience building scalable, production-grade AI-driven and web applications across healthcare, fintech, and enterprise domains. She specializes in backend engineering, system integrations, and applied AI, with deep expertise in multi-agent systems, LLM-powered workflows, RAG pipelines, API orchestration, payment integrations, and document intelligence pipelines involving OCR and structured data extraction.

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Case Studies by Ramya

RecoveryCopilot: Autonomous Health Insurance Audit System

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AI Automation15 min read

RecoveryCopilot: Autonomous Health Insurance Audit System

A production-ready autonomous multi-agent system that audits health insurance claims against complex policy documents using RAG, detecting revenue leakage with 99% accuracy.

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Agentic AI20 min read

Hybrid AI Documentation Generator

An intelligent hybrid AI documentation platform combining local LLMs with cloud AI to automatically generate comprehensive, publication-ready documentation from any GitHub repository.

Ultimate AI Assistant Using Model Context Protocol

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Agentic AI16 min read

Ultimate AI Assistant Using Model Context Protocol

A powerful Streamlit-based AI assistant that leverages the Model Context Protocol (MCP) to orchestrate multiple specialized AI servers for web scraping, multimodal RAG, and intelligent information retrieval.

NotebookLM Clone - Document-Grounded AI Assistant

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Agentic AI20 min read

NotebookLM Clone - Document-Grounded AI Assistant

An open-source implementation of Google's NotebookLM that grounds AI responses in your documents with accurate citations, featuring multi-modal processing, conversational memory, and AI podcast generation.

Real-Time Stock Portfolio Analysis Agent

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Agentic AI16 min read

Real-Time Stock Portfolio Analysis Agent

An intelligent AI agent that streams portfolio analysis workflows in real-time, enabling users to watch as it fetches stock data, calculates allocations, and generates investment insights live.

Claude MCP Guide: Connecting Local Tools to AI

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AI Automation14 min read

Claude MCP Guide: Connecting Local Tools to AI

A comprehensive guide on configuring the Model Context Protocol (MCP) to give Claude Desktop access to your local file system, databases, and custom scripts.

Parlant Guidelines vs Traditional LLM Prompts

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Agentic AI16 min read

Parlant Guidelines vs Traditional LLM Prompts

A comprehensive comparison demonstrating the superiority of Parlant's structured guideline-based approach over traditional monolithic LLM prompts for building reliable, maintainable conversational AI agents.

Context Engineering Pipeline for AI Research Assistant

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Agentic AI20 min read

Context Engineering Pipeline for AI Research Assistant

An intelligent multi-agent research assistant that combines RAG, web search, memory systems, and API integrations using CrewAI Flows to deliver contextually rich, well-cited responses to complex research queries.

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