Hey there! Iβm Naman Upreti, a passionate AI Engineer focused on Generative AI, LLMs, and Autonomous Systems.
I love crafting intelligent applications that blend reasoning, automation, and creativity β making machines think a little more like humans.
π‘ Currently exploring how to scale LLMs and RAGs for real-world AI systems.
| πΌ Area | βοΈ Description |
|---|---|
| π€ Generative AI & LLMs | Building intelligent apps using OpenAI, Hugging Face, and LangChain. |
| π RAG & AI Agents | Designing retrieval-augmented systems using Pinecone, FAISS, and ChromaDB. |
| π Data Science & ML | Applying ML algorithms for insights, predictions, and decision-making. |
| βοΈ AI Deployment | Deploying models using FastAPI, Streamlit, Docker, AWS & GCP. |
| Category | Tools & Frameworks |
|---|---|
| π Languages | Python, SQL, R, C |
| π§ AI & ML | PyTorch, TensorFlow, Scikit-learn, LangChain, Hugging Face |
| π€ Generative AI | GPT Models, RAG, Prompt Engineering |
| π Data & Visualization | Pandas, NumPy, Matplotlib, Seaborn, Tableau |
| π Web & APIs | FastAPI, Streamlit, Node.js, REST APIs |
| βοΈ Cloud & DevOps | AWS, GCP, Docker, Vercel |
| ποΈ Databases | MySQL, PostgreSQL, MongoDB, Pinecone, FAISS, ChromaDB |
| βοΈ Tools | Git, GitHub, VS Code, Jupyter, Postman, Figma |
- πΉ Autonomous AI Agents (LangGraph, CrewAI)
- πΉ Fine-tuning and Embedding Optimization
- πΉ Multimodal RAG (Text + Vision)
- πΉ Cloud MLOps & AI Infrastructure Automation
βBuilding bridges between data, intelligence, and imagination.β
β Open to AI Research, Internships, and Generative AI Collaborations
