- Focused on AI Systems, LLMs, and Retrieval-Augmented Generation
- Strong foundation in C++, DSA, and problem solving
- Currently learning Agentic AI, RAG pipelines, and LLM orchestration
- Building projects that combine logic + AI + system design
- Preparing for research, internships, and open-source contributions
- Multi-agent system design (LangGraph-style workflows)
- RAG architecture (chunking, embeddings, retrieval, evaluation)
- Prompt engineering and reasoning patterns
- FastAPI-based AI deployment
- Competitive programming and core DSA
- C++
- Python
- Git
- Linux / macOS
- LangChain
- LangGraph
- FAISS / Vector search
- Basic PyTorch
- FastAPI
- Basic React
- REST APIs
I am working toward:
- Production-grade RAG systems
- Tool-augmented LLM agents
- Secure AI execution pipelines
- System design for AI products
- Build > Consume
- Systems > Tutorials
- Debug deeply
- Understand failure modes
- Write clean logic before optimization
Currently building. Consistently improving.
- Gmail: kushagramodanwal@gmail.com
- LinkedIn: https://linkedin.com/in/kushagra-modanwal-bb3504319
- Instagram: https://instagram.com/kushagramodanwal
- Twitter (X): https://x.com/kushaark