Building intelligent systems with LLMs, RAG pipelines, AI agents & scalable applications.
- 🤖 Building AI-powered applications, agentic workflows & intelligent automation systems
- 🧠 Exploring Generative AI, LLM orchestration, RAG architectures & AI infrastructure
- 💡 Passionate about combining AI + Software Engineering to solve real-world problems
- 📚 Currently learning advanced MLOps, scalable inference systems & production AI deployment
- 🌱 Interested in Applied AI, NLP, AI Agents, Backend Systems & Cloud Infrastructure
- 💬 Ask me about AI/ML, GenAI, LangChain, LangGraph, MERN, DevOps & Open Source
- 😄 Pronouns: She/Her
📫 Reach me at: [email protected]
- Generative AI
- Large Language Models (LLMs)
- RAG Pipelines
- AI Agents & Automation
- NLP & Embeddings
- Vector Databases
- Prompt Engineering
- MLOps & AI Deployment
| Project | Description |
|---|---|
| 🤖 AI Chat Applications | Built conversational AI systems using LLM APIs & memory workflows |
| 🧠 RAG Knowledge Assistants | Developed retrieval-augmented generation pipelines using vector search |
| 🔗 LangGraph Multi-Agent Systems | Created agent orchestration workflows with tool-calling & memory |
| 📞 Voice AI Agents | Built real-time voice-enabled AI assistants |
| ⚡ n8n AI Automations | Automated workflows integrating LLMs, APIs & external services |
| 📊 ML Prediction Systems | Worked on predictive ML models for classification & regression tasks |
while True:
learn("AI/ML")
build("GenAI Systems")
contribute("Open Source")
improve("Engineering Skills")
deploy("Scalable AI Applications")
experiment("LLMs & AI Agents")
automate("Agentic Workflows")
optimize("RAG Pipelines")
debug("Production Systems")
repeat()