Emmanuel K

FOUNDER

Crown Solutions • ZZP

Jun 2024 - Present • 2 yrs 2 mos

At Crown Solutions, I design and implement workflow automation systems that help businesses streamline operations and reduce manual work. My focus is on building reliable, scalable automations that connect different tools and processes into a single efficient system. I work primarily with n8n, Make (Integromat), and Zapier, integrating platforms such as CRMs, Google Workspace, Notion, Slack, and various APIs to automate business workflows. My work includes developing systems for: Lead capture and qualification CRM and customer data management Content and marketing automation AI-powered workflows and agents Internal process automation and task management Data synchronization across multiple platforms I also design custom API-based solutions and webhook integrations to ensure seamless communication between tools, enabling businesses to operate with minimal manual intervention. The goal of my work at Crown Solutions is to transform repetitive processes into automated systems that improve efficiency, accuracy, and overall productivity.

Automated Customer Form Response System

Reviver • Freelance

Aug 2025 - Aug 2025 • 0 mos

A client messaged me that he was experiencing slow response times to customer inquiries submitted through online forms, which resulted in missed leads and delayed customer engagement. Designed and implemented an automated workflow that captured and processed incoming form submissions in real time. Integrated an AI-powered response system to generate accurate replies based on customer messages. Connected the automation to an email service to deliver instant responses to customers. Added conversation memory functionality to maintain context across interactions. Tested and optimized the workflow to ensure reliable performance and minimal errors.

Multi-Model AI Agent Integration (Gemini + DeepSeek)

RaduMalain Fotografie • Freelance

May 2025 - May 2025 • 0 mos

A client messaged me that his AI responses were inconsistent and lacked flexibility when handling different types of customer requests. Integrated multiple AI models (Gemini and DeepSeek) into a single AI Agent workflow. Configured fallback logic between models to improve reliability. Built memory-enabled conversations for better contextual responses. Optimized response quality using structured prompts. Increased AI accuracy and improved overall system reliability.