
AI Engineer for C# & GPT-Based Applications – Pakistan
About Our Engineers
This engineer has over 5 years of experience developing with C#, .NET Core, and AI tools like GPT. They’ve built smart chat modules, transcription engines, form automation tools, and internal copilots for business platforms—all backed by fast, reliable, and maintainable code.
Key Expertise & Skills
C# & .NET Core Development
GPT API Integration
Whisper Audio Transcription
Smart API Automation
WinForms/WPF AI Features
RESTful Services
Background Workers
Entity Framework Core
Technologies & Tools
C#
.NET Core 7+
GPT-4 API
Whisper
Azure AI
SignalR
Docker
SQL Server
REST APIs
Windows Services
Entity Framework
ML.NET
Azure Functions
LangChain
Projects Our Engineers Have Worked On
- GPT Email Copilot in C# – Created a desktop assistant that rewrites draft emails using GPT-4 with contextual awareness and tone adjustment options, built using .NET Core and Azure AI APIs.
Voice-to-Text Summarizer Tool – Developed a Windows desktop app that records audio, sends it to Whisper, and uses GPT to summarize notes—used by field agents and doctors.
Contract Analyzer in ASP.NET Core – Built a GPT-powered form where uploaded documents are parsed, flagged for redlines, and summarized—output delivered as editable Word docs.
C# Resume Intelligence Engine – Designed a tool that takes candidate resumes, matches them to job listings using GPT scoring, and returns a detailed ranking with interview tips.
GPT Document Generator for CRM – Automated proposal writing inside a .NET CRM tool, using GPT to fill templates with client data and past project info; added user prompt editing.
Whisper-Enabled Meeting Assistant – Created a C# desktop utility that listens to meeting audio, transcribes it, and summarizes action items via GPT, all synced with Microsoft Teams.
Who Should Hire This Engineer?
Teams building AI-driven desktop or backend tools
SaaS platforms using .NET for business automation
Startups integrating GPT chat or content tools
Legal/Finance sectors building secure AI features into legacy systems