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Yuvraj Pradhan

Yuvraj Pradhan

Published AI Researcher (Springer Nature Q2) | Architecting Reliable Multi-Agent Systems & Efficient LLMs

Pune, India

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Yuvraj Pradhan is an AI Systems Engineer specialising in cost-efficient GenAI and secure multi-agent architectures. He is the first author of research published in Springer Nature on architecting a 125M-parameter NanoLLM for STEM tasks that outperforms significantly larger models. His work spans scalable enterprise RAG pipelines and AI security, building open-source systems for reliable, safe, and efficient AI in production.

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Area of Expertise

  • Business & Management
  • Finance & Banking
  • Government, Social Sector & Education
  • Information & Communications Technology
  • Region & Country

Topics

  • Artificial intelligence
  • AI Agents
  • LLMs
  • Multi-Agent Systems
  • MCP
  • AI and Cybersecurity
  • AI Security
  • AI Governance
  • Agent Orchestration
  • LLM Security
  • AI Infrastructure
  • Vulnerability Research
  • Agentic Systems
  • AI
  • AI & Agentic Systems
  • Cybersecuirty
  • Cyber Security Research
  • cyber security
  • research
  • offensive cyber security
  • Machine Learning
  • Deep Learning
  • Startups
  • open source

Yuvraj Pradhan

Published AI Researcher (Springer Nature Q2) | Architecting Reliable Multi-Agent Systems & Efficient LLMs

Pune, India

Links

Actions

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