🚀 AI Engineer | Generative AI & Agentic Systems | RAG | Full-Stack AI Builder
I build production-ready Generative AI systems that solve real enterprise problems — 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.
🤖 Generative AI & LLM Systems
- Multi-agent architectures (planner / executor / validator)
- Retrieval-Augmented Generation (RAG)
- Intent recognition & conversational AI
- Token-efficient, cost-aware pipelines
🏗 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
📉 Built a Generative AI Employee Self-Service Assistant
- Reduced HR ticket escalations by 65%
- Designed and deployed 10+ multi-agent enterprise solutions
⚙ Architected agent-based workflows
- ~2500 tokens end-to-end per workflow
- High-accuracy intent routing and task execution
🚀 Accelerated feature delivery by 30%
💰 Improved performance and reduced cloud costs across AI systems
LanguagesPython · JavaScript
AI / MLLLMs · Generative AI · RAG · NLU · Deep Learning · Agentic AI
Frameworks & ToolsAzure OpenAI · Mistral · LangChain · Vector Databases · FastAPI
Frontend & BackendReactJS · NodeJS · REST APIs
CloudAzure · AWS
- AI Engineer / Data Scientist building enterprise-scale AI systems
- Experience across research → product → deployment
- Education:
- 🎓 MS in Artificial Intelligence (ongoing)
- 🎓 PG in AI & Data Science
- 🌏 International immersion at NTU Singapore
- Predicting occupant thermal comfort for multiple air-side systems and seasonal scenarios using Autonomous HVAC CFD
- 💼 LinkedIn: avinash-goen
- 💻 GitHub: avigoen
- 📧 Email: avinashgoen@hotmail.com
⭐ I’m always interested in Generative AI, agentic systems, and impactful collaborations.


