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Muhammad Umair's avatar
Muhammad Umair
Lahore, Pakistan
AI Engineer building AI agents, LLM apps, RAG systems
New to Contra
AI Engineer building AI agents, LLM apps, RAG systems
Cover image for AI Organization & Business Automation We
AI Organization & Business Automation We developed and tested a complete AI-powered business organization designed to automate customer communication, sales, operations, marketing, and business management. The system uses multiple specialized AI agents coordinated through a central Chief of Staff AI. The workflow can handle customer conversations, qualify leads, manage CRM records, schedule meetings, generate Google Meet links, understand voice messages, and escalate important matters to the business owner. The core AI platform has already been built and tested successfully. The remaining phase focuses mainly on official API integrations, production infrastructure, security, and deployment to make the system reliable and scalable for real-world business operations.
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Cover image for Developed an AI-powered KYC verification
Developed an AI-powered KYC verification feature that compares a user's National ID/CNIC photo with their selfie using facial embeddings. The system detects and processes both images, generates face embeddings, compares facial similarity, and automatically determines whether the identity match meets the verification criteria.
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Cover image for Developed a custom AI assistant
Developed a custom AI assistant integrated with Telegram using the OpenAI SDK. The agent was connected to private business data and designed to provide context-aware, personalized responses through a simple Telegram chat interface. The solution focused on private knowledge integration, custom AI behavior, and automated conversational assistance.
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Cover image for A Python pipeline that reads
A Python pipeline that reads incoming payment documents PDFs, scans, spreadsheets, even phone photos and turns them into database-ready JSON for a logistics company's accounting system. The hard part wasn't extraction, it was trust. In accounting, a wrong number is worse than no number, so the pipeline never guesses: anything ambiguous comes back as null with a note, and every run reconciles sums and counts to the exact cent before it returns anything.
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Google App Engine(1)