Pradeep 160103126

Hi there, I'm Pradeep Lachireddy 👋

AI Systems Engineer | Multi-Agent Workflows | LLM & RAG Architectures

I am an AI Systems Engineer focused on building autonomous agent orchestration platforms, advanced RAG architectures, and resilient AI backends.

🤖 Multi-Agent Orchestration: Architecting stateful, human-in-the-loop agent workflows with LangGraph, FastAPI, and autonomous execution loops.
🧠 RAG & Vector Intelligence: Building multimodal search and graph-augmented generation pipelines using Knowledge Graphs, FAISS, and Hugging Face LLMs.
🔌 Agentic Tooling & Protocols: Developing custom Model Context Protocol (MCP) servers and dynamic tool-calling integrations.
⚡ High-Performance Backends: Engineering scalable microservices and audio/text inference pipelines in Python and Go.

Project	Description	Key Tech
🤖 AI Multi-Agent Delivery Team Platform	Multi-agent workflow orchestration platform simulating software delivery roles (Planning, QA, Security, Dev) with stateful graph control and human-in-the-loop approvals.	`Python` `LangGraph` `FastAPI`
🎙️ AI Recruiter Call Tracker	Automated audio ingestion pipeline that transcribes recruiter call recordings, scores opportunity match, and extracts structured data automatically into Sheets/Excel.	`Python` `Whisper` `LLMs`
🧠 Graph RAG Multimodal System	Multimodal RAG architecture integrating Knowledge Graph relationships with vector search for contextual reasoning over unstructured datasets.	`Python` `Graph RAG` `FAISS`
🔌 Custom Remote MCP Server	Remote Model Context Protocol (MCP) server implementation for securely connecting external AI agents and tool capabilities.	`Python` `MCP` `AI Tools`
⚡ Sequential AI Agent	Autonomous agent built with LangChain and Gemini for dynamic tool selection, local function execution, and multi-turn iterative reasoning.	`Python` `LangChain` `Gemini`
🔍 Vector Embeddings & FAISS Engine	High-speed semantic search index and embedding management system using FAISS.	`Python` `FAISS` `Embeddings`

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