/**
* @profile Ajay Kumar Reddy Nelavetla
* @focus Engineering the next generation of Agentic AI
*/
const ajay = {
role: "Lead AI Engineer & Agentic Systems Architect",
specialization: {
reasoning: ["CoT (Chain of Thought)", "ReAct", "Reflection"],
memory: ["Vector RAG", "GraphRAG", "Long-term Neural Memory"],
action: ["Tool Use", "Automated Web Interaction", "Multi-Agent Swarms", "OpenClaw"]
},
currentStack: {
foundational: ["Claude 3.5 Sonnet", "GPT-4o", "DeepSeek-V3", "Llama 3.1"],
orchestration: ["LangChain", "CrewAI", "PydanticAI", "OpenClaw"],
knowledge: ["Pinecone", "Milvus", "Weaviate", "Neo4j"]
},
building: {
"Auto-Apply Agent": "End-to-end cognitive browser automation",
"Gmail-Notion Orchestrator": "Neural mail processing & knowledge extraction",
"Multi-Agent OS": "System for parallel LLM task execution"
},
motto: "Why manually when AI can autonomously?"
};
| System | Intelligent Function | Status |
|---|---|---|
| 🤖 Agentic Job Automator | Deep RAG + Browser Actions for 100% autonomous employment workflows | ⚡ High Compute |
| 🛡️ Neural Privacy Layer | LLM-based redaction and ethical guardrails for production APIs | 🚀 Deployed |
| 📊 Sentiment Swarm | Multi-agent network analyzing market trends via social web-scraping | 🔥 Active |
| 📹 Cognitive Video Creator | Generative AI pipeline for automated content assembly & narration | ✅ Live |
🏢 FolderWave | AI & Automation Core
- 🧠 Designed the "FolderWave AI" transition, moving legacy systems to modern LLM-driven architectures.
- ⚡ Implemented Agentic RAG systems for processing millions of student records with pinpoint accuracy.
- 🔄 Built custom GPT/Claude toolchains for automated data validation and predictive anomaly detection.
🎓 Research: MS Software Engineering - Northeastern University (Focus: Distributed Intelligence)
💪 Compute Time: 4+ years building production-grade AI & Automation
🎯 Current: Architecting the layer where LLMs meet real-world action APIs.
┌─────────────────────────────────────────────────────┐
│ 🚀 Scaling Autonomous Multi-Agent Swarms │
│ 🧠 Integrating GraphRAG for Deep Context │
│ 🔄 Self-Correcting Browser Automation │
│ 🎯 Sub-1s Latency Neural Inference │
│ 📹 Multimodal Video Generation (HeyGen/Sora) │
└─────────────────────────────────────────────────────┘
🤖 Training for collaboration. Open to Agentic AI, RAG & LLM Infra projects.
Tags: Agentic AI, LLM Architect, RAG, GraphRAG, Multi-Agent Systems, PydanticAI, LangChain, VectorDB, Neural Search, Automation, Python, TypeScript
Architected with 🧡 by Ajay | v2.0 AI-Core Revision