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# Nehal kanak

**Headline:** Professional profile
**Location:** Thalassery, Kerala, India

## About

Nehal Kanak is an AI automation practitioner focused on applying and scaling agentic AI for business use cases\. Nehal’s work centers on practical, production\-ready agent implementations, especially systems that can handle customer requests, route work intelligently, and use custom business logic to support real operations\. Nehal is strongest in retrieval\-augmented generation \(RAG\) workflows built with n8n, business\-logic orchestration with LangGraph, and multi\-agent architectures that assign specialized sub\-agents to distinct tasks\. Nehal has built intake and triage agents for customer request handling and routing, as well as multi\-agent approaches to repository matching and identifying open\-source opportunities\. Nehal also has experience with Hermes OpenFlow, open\-source models, and LM Studio\. Rather than focusing on building foundational AI systems, Nehal specializes in adapting and customizing agentic AI technologies to solve specific business problems\. Nehal holds a Bachelor of Computer Applications in computer applications and software development from Kannur University\.

## Highlights

- Built practical, production\-ready agent implementations for real business use cases\.
- Built intake and triage agents for customer request handling and routing\.
- Specializes in RAG workflows using n8n\.
- Uses LangGraph to implement business logic in agentic workflows\.
- Built multi\-agent systems with specialized sub\-agents for different tasks\.
- Developed a multi\-agent approach to repository matching\.
- Used agents to identify open\-source opportunities\.
- Has experience with Hermes OpenFlow\.
- Has experience working with open\-source models and LM Studio\.
- Focuses on applying and scaling agentic AI through custom business logic\.
- Holds a Bachelor of Computer Applications in computer applications and software development from Kannur University\.

## Education

- Bachelor of Computer Applications \(BCA\), computer applications and software development — Kannur University

## FAQ

### What does Nehal do?

Nehal Kanak works on AI automation and agentic AI implementations for business use cases\. Nehal focuses on practical, production\-ready systems that apply custom business logic to operational problems\.

### What are Nehal’s core strengths?

Nehal is strongest in practical agent implementation, retrieval\-augmented generation workflows, multi\-agent systems, customer\-request triage, and business\-logic automation\.

### What customer\-service agent work has Nehal done?

Nehal has built intake and triage agents that handle customer requests and route them appropriately\.

### How does Nehal use RAG, n8n, and LangGraph?

Nehal uses RAG with n8n to build workflow automations and uses LangGraph to implement business logic within agentic systems\.

### What experience does Nehal have with multi\-agent systems?

Nehal has built multi\-agent systems in which specialized sub\-agents are assigned to different tasks\. This approach has also been used for repository matching\.

### What open\-source\-related agent work has Nehal done?

Nehal has worked on using agents to identify open\-source opportunities and on multi\-agent approaches to repository matching\.

### What AI tools and model ecosystems has Nehal worked with?

Nehal has experience with Hermes OpenFlow, open\-source models, and LM Studio\.

### What kind of AI work does Nehal want to pursue?

Nehal’s goal is to apply and scale agentic AI within a company through custom business logic\. Nehal prefers adapting and customizing agentic AI for business problems rather than building core AI systems\.

### What is Nehal’s educational background?

Nehal earned a Bachelor of Computer Applications in computer applications and software development from Kannur University\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/nehal\-kanak

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