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Hi, I’m Avinash Goen πŸ‘‹

πŸš€ AI Engineer | Generative AI & Agentic Systems | RAG | Full-Stack AI Builder

I build production-ready Generative AI systems that solve real enterprise problems β€” from multi-agent AI platforms to scalable RAG pipelines and AI-powered full-stack applications.

My work sits at the intersection of AI research, engineering, and product, turning ideas into systems that deliver measurable business impact.


🧠 What I Do

  • πŸ€– Generative AI & LLM Systems

    • Multi-agent architectures (planner / executor / validator)
    • Retrieval-Augmented Generation (RAG)
    • Intent recognition & conversational AI
    • Token-efficient, cost-aware pipelines
  • πŸ— AI Engineering

    • Azure OpenAI, Mistral, open-source LLMs
    • Evaluation, monitoring, and optimization
    • Scalable, production-grade deployments
  • 🌐 Full-Stack AI Products

    • Backend: Python, Node.js, REST APIs
    • Frontend: ReactJS
    • End-to-end AI product delivery

πŸ† Impact Highlights

  • πŸ“‰ Built a Generative AI Employee Self-Service Assistant

    • Reduced HR ticket escalations by 65%
    • Designed and deployed 10+ multi-agent enterprise solutions
  • βš™ Architected agent-based workflows

    • ~2500 tokens end-to-end per workflow
    • High-accuracy intent routing and task execution
  • πŸš€ Accelerated feature delivery by 30%

  • πŸ’° Improved performance and reduced cloud costs across AI systems


πŸ›  Tech Stack

Languages
Python Β· JavaScript

AI / ML
LLMs Β· Generative AI Β· RAG Β· NLU Β· Deep Learning Β· Agentic AI

Frameworks & Tools
Azure OpenAI Β· Mistral Β· LangChain Β· Vector Databases Β· FastAPI

Frontend & Backend
ReactJS Β· NodeJS Β· REST APIs

Cloud
Azure Β· AWS


πŸ“š Background

  • AI Engineer / Data Scientist building enterprise-scale AI systems
  • Experience across research β†’ product β†’ deployment
  • Education:
    • πŸŽ“ MS in Artificial Intelligence (ongoing)
    • πŸŽ“ PG in AI & Data Science
    • 🌏 International immersion at NTU Singapore

πŸ“„ Publications

  • Predicting occupant thermal comfort for multiple air-side systems and seasonal scenarios using Autonomous HVAC CFD

🌍 Let’s Connect


πŸ’‘ Dev Quote of the Day


⭐ I’m always interested in Generative AI, agentic systems, and impactful collaborations.

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