AI Engineer | LangGraph & Agentic RAG | Python Backend (Django Ninja) | LLM Orchestration | Machine Learning (Classical) | PostgreSQL
Bachelor of Engineering
RGPV University
Middle School
Bal Bharati Sr. Sec. School, Rewa Madhya Pradesh
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I am an AI Engineer specializing in architecting Agentic Workflows and production-ready RAG systems. My focus is on moving from linear pipelines to build autonomous, stateful AI systems that can reason, self-correct, and execute complex tasks. Currently, I am deep into LLM Orchestration using LangGraph, where I design multi-node agentic pipelines that utilize Reflection Nodes to eliminate hallucinations and ensure high-quality outputs. I prioritise building AI systems manually to maintain granular control over logic, avoiding high-level abstractions that obscure performance. What I bring to the table: - Agentic AI Architecture: Engineering stateful workflows with LangGraph, implementing intent classification and autonomous query reformulation. - Advanced RAG Systems: Building custom pipelines from scratch involving hybrid search (Vector + Keyword), cross-encoder reranking, and persistent memory via PostgreSQL. - Production-Grade Backends: Developing type-safe, high-performance APIs using Django Ninja and FastAPI to serve complex AI agents. - Scalable Ingestion: Leveraging asynchronous concurrency with Crawl4AI for efficient, large-scale data extraction. Tech Stack: Python, LangGraph, Django Ninja, FastAPI, PostgreSQL (pgvector), Scikit-learn, Crawl4AI, Tavily API.
Greater Bhopal Area
Bachelor of Engineering, RGPV University
Middle School, Bal Bharati Sr. Sec. School, Rewa Madhya Pradesh