Krishna Agrawal

About Krishna Agrawal

I build intelligent systems that solve real engineering problems — not just AI demos.As an AI Engineer, I focus on designing production-grade AI applications that combine large language models with robust software architecture. My work centers on multi-agent systems, automated code transformation pipelines, RAG architectures, and AI-driven developer tooling that can operate reliably at scale.Recently, I’ve been building systems that automate complex engineering tasks such as large-scale legacy code migration (e.g, Struts → Spring Boot) using AI agents, dependency analysis, structured context pipelines, and controlled LLM orchestration. My approach emphasizes deterministic architecture + intelligent AI assistance, ensuring outputs remain reliable and maintainable in real-world environments.Beyond AI systems, I have a strong foundation in full-stack engineering. I build modern applications using React, Node.js, FastAPI, and Django, and deploy scalable solutions using Docker, cloud infrastructure, and modern DevOps practices. This allows me to design AI solutions that integrate seamlessly into existing software ecosystems.Technically, my work often involves:• Multi-agent AI workflows using LangGraph and modern orchestration patterns• Retrieval-augmented systems and knowledge pipelines• AI-assisted developer tooling and automation platforms• Full-stack applications integrating LLM capabilities• Scalable backend architectures and API systemsI enjoy working at the intersection of AI research capability and practical software engineering, where intelligent systems can meaningfully reduce complexity and accelerate development.If you\'re building systems where AI needs to actually work in production, I\'d love to connect.

Experience

1. Trainee Programmer

   YASH Technologies

   Jun 2024 — Present · Indore, IN

Education

• Ujjain Engineering College, Sanwer Road, Ujjain

  Bachelor's degree, Computer Science

• St Michael's Higher Secondary School

  Higher Secondary, PCM