Aishatu

AI Automation and Integration Specialist

Jun 2025 - Present • 1 yr 4 mos

Designed and implemented AI-powered automation solutions that connect business applications, APIs, databases, and communication platforms to improve operational efficiency. Developed multi-step workflows using n8n, webhooks, REST APIs, and AI model integrations to automate repetitive tasks and coordinate data across different systems. Built workflows for lead capture, customer support, data processing, notifications, CRM updates, and AI-assisted content generation. Integrated platforms such as Google Sheets, Slack, Shopify, and CRM systems to enable automated information exchange and reduce manual data entry. Configured AI models to process incoming information, classify requests, generate contextual responses, and support automated decision-making within defined workflow rules. Implemented conditional logic, data transformation, authentication, retry mechanisms, and error-handling procedures to improve workflow reliability. Tested integrations, diagnosed API failures, monitored execution logs, and documented workflow configurations to support troubleshooting and maintenance. Focused on building practical automation systems that help businesses manage repetitive operations, improve response times, and connect their existing software tools.

AI Coding Agent Developer

Feb 2025 - Present • 1 yr 8 mos

Developed and configured AI coding agents and automated development workflows to help businesses and developers accelerate software development, reduce repetitive tasks, and improve engineering productivity. Worked with Claude Code, GitHub, MCP servers, API integrations, and open-source AI agent frameworks to connect AI models with development tools, code repositories, and external services. Configured AI agent environments, managed tool permissions, integrated third-party APIs, and established workflows for code generation, debugging, codebase analysis, documentation, and software maintenance. Set up MCP integrations to enable AI coding assistants to interact with supported tools and data sources, including GitHub repositories and external APIs. Worked with self-hosted AI agent environments, command-line tools, environment variables, authentication, and deployment configurations. Troubleshot installation issues, API connection errors, permission problems, and agent execution failures while improving reliability through structured configuration, logging, and error handling. Also explored multi-agent workflows, reusable agent instructions, and context management to support complex development tasks. Focused on practical, maintainable solutions that integrate AI coding tools into existing software development processes.