Agentic AI Engineering & LLM Development
Agentic AI with RAG. 80% fewer hallucinations. Automate 60% of manual tasks.
I build agentic AI systems with RAG pipelines that remember your data. LLM fine-tuning cuts hallucinations 80%. Agentic AI workflows (n8n, LangChain) automate 60% of manual tasks. Production-ready AI agents work like cognitive employees, not chatbots.
The Arsenal
Tools of the Trade
Legacy Friction
The 'Wrapper' Trap
Generic ChatGPT wrappers don't solve enterprise problems. You need AI that understands your specific data, follows business rules, and takes action.
HiVE Advantage
Cognitive Architecture
I build 'Context-Aware' AI systems with memory and action. Vector DBs (Pinecone) for your company knowledge + n8n for automation = AI that works like an employee, not a chatbot. Result: 5-day AI rebuild vs 3.5 months traditional (Smyl case study).
Execution Pipeline
From Zero to Production.
Data Vectorization
Embedding your knowledge base into Pinecone/Weaviate. Result: AI recalls context with 95%+ accuracy.
Agent Orchestration
Designing multi-step reasoning loops with LangChain. Result: AI completes 10-step workflows autonomously.
Eval & Optimization
Testing against hallucinations using RAGAS framework. Result: 80% reduction in incorrect responses.