darshak patel

Building intelligent automation systems for businesses while exploring full-time opportunities in AI/ML engineering.

🎯 WHAT I DO:
- Design and implement end-to-end AI automation workflows using n8n
- Develop custom AI agents and multi-agent systems with GPT-4 and Claude
- Build agentic RAG systems with vector databases (Pinecone)
- Integrate LLMs into business processes for intelligent decision-making
- Create production-ready automation with error handling and monitoring

💼 CLIENT IMPACT:
- Reduced student onboarding time by 60% through automated enrollment system
- Built AI email manager processing 500+ emails/day with intelligent categorization
- Created automated lead enrichment pipeline saving 20+ hours weekly
- Deployed multi-step workflows with human-in-the-loop escalation

🛠 TECH STACK:
AI & Automation: n8n, OpenAI GPT-4, Anthropic Claude, DeepSeek, LangChain, Multi-Agent Systems
Backend: Laravel, FastAPI, Python, REST APIs
Databases: MySQL, PostgreSQL, Pinecone (vector)
Frontend: Vue.js, Nuxt.js, React
DevOps: Docker, AWS basics

📊 FOCUS AREAS:
- Agentic RAG architecture and optimization
- Tool calling and function calling patterns
- Cost-efficient LLM deployment
- Production AI system reliability
- Workflow orchestration at scale

🔍 CURRENTLY:
→ Accepting AI automation consulting projects ($500-2,500)
→ Actively seeking full-time AI/ML Engineering roles
→ Open to contract engagements and collaborations

💡 PASSIONATE ABOUT:
Building AI systems that solve real business problems, not just demos. Focused on reliability, cost-efficiency, and measurable impact.

📧 Open to discussing automation projects or AI engineering opportunities.