Amisha Patel

Dynamic Software Developer at Aimey.ai with expertise in .NET technology and Agile methodologies. Proven track record of delivering high-quality applications and enhancing team collaboration. Skilled in ASP.NET Core and RESTful APIs, driving successful project outcomes and fostering effective communication within cross-functional teams.

AI driven PMO at Aimey.ai (June 2024 to Present)

• Description: Developed an AI-driven project management system to automate and streamline project management tasks, including meeting management, task assignment, follow-ups, and note distribution
• Technologies Used: C#, .NET 9, Microsoft SQL Server, Entity Framework Core, Microsoft Graph API, Azure DevOps API, Jira API, HubSpot API, ConnectWise API, Monday API, Twilio API, Zoom API, Dropbox API, Newtonsoft.Json, System.Text.Json
• Responsibilities: Designed and implemented the core architecture of the project, developed and integrated various APIs for task management and meeting processing, implemented automated follow-up and notification systems, ensured seamless integration with multiple project management tools, conducted thorough testing and debugging to ensure reliability and performance

Aimey Chatbot for project and CRM management

• Description: developed an AI-driven chatbot to assist in managing projects, tasks, and CRM activities, including sales meetings, and integrations with various project management tools like Azure DevOps, Planner, Monday.com, and more
• Technologies Used: C#, .NET 9, Microsoft SQL Server, Entity Framework Core, Microsoft Graph API, Azure DevOps API, Jira API, HubSpot API, ConnectWise API, Monday API, Twilio API, Zoom API, Dropbox API, OpenAI API, Newtonsoft.Json, System.Text.Json, AdaptiveCards
• Responsibilities: Designed and implemented the core architecture of the chatbot, developed and integrated various APIs for project, task, and CRM management, implemented adaptive cards for an interactive user experience, integrated OpenAI for intelligent responses and summaries, conducted thorough testing and debugging to ensure reliability and performance

Enhancement of Engineering Divison Web Search Forms at Think AI Corporation (Jan 2024 to May 2024)

• Enhanced web-based database search forms with dynamic dropdowns and improved sorting for various fields.
• Added new search fields and controls, including "Status" dropdown, "Issued Date" date pickers, and an auto-complete dropdown with partial match search

• Updated export functionality to separate multiple values with carriage returns and standardized the appearance of printed reports.
Improved user interface with consistent border colors, dynamic resizing of dropdowns, and descending order sorting for date pickers