🚀 Architecting Real-World AI Solutions using GenAI, Agentic RAG, and NLP
I’m a Senior AI Technologist specializing in building agentic GenAI solutions, fine-tuned transformer-based NLP systems, and RAG-powered pipelines. With hands-on production experience across telecom, enterprise AI, and cloud-native stacks, I design systems that are robust, scalable, and business-ready.
- 🔍 Retrieval-Augmented Generation (RAG)
- 🤖 Agentic AI Systems
- 🗣️ Natural Language Understanding
- 🛠️ Production-Grade AI System Architecture
| Project | Description |
|---|---|
| 🤖 Agentic Workflow Orchestrator | An LLM-driven agent system that sequences and executes API tasks through conversational inputs |
| 🧠 LLM-Powered Knowledge Retriever | A RAG architecture built with vector search for querying enterprise documentation and PDFs |
| 🗣️ Conversational Data Pipeline Builder | NLP agent that dynamically generates data pipelines from natural language requests |
| 📊 GenAI Analytics Companion | A chat-first assistant that transforms user queries into analytical reports and dashboards |
- AgentMesh – A framework to wire up multiple LLM agents that can delegate, reason, and act autonomously across microservices.
- AutoRAG Toolkit – An out-of-the-box library to bootstrap your own Retrieval-Augmented Generation systems with minimal setup.
- PromptLab – An experimental environment to test prompt chaining, memory injection, and input-output schema design.
Here are a few of my latest Medium posts:
- 📌 Gemma, Firebase & India’s SLM Movement
- 📌 Why Agentic RAG is the Future of Enterprise GenAI
- 📌 Deploying Gemma on GCP Cloud Run in Minutes
You can find all my writings on Medium.