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Mohammad Suleman K. AI, Python and General Development

My name is Mohammad Suleman K. and I have over 1 years of experience in the tech industry. I specialize in the following technologies: AI Agent Development, Artificial Intelligence, AI Consulting, AI Development, Chatbot Development, etc.. I hold a degree in Bachelor of Science (BS). Some of the notable projects I’ve worked on include: AI voice Lead Qualification Agent, Agentic RAG for Aluminium Services Company, AI-Powered Medical Guidelines Chatbot, AI Powered Chat with Documents, AI Powered Documentation Assistant, etc.. I am based in Lahore, Pakistan. I've successfully completed 6 projects while developing at Softaims.

I employ a methodical and structured approach to solution development, prioritizing deep domain understanding before execution. I excel at systems analysis, creating precise technical specifications, and ensuring that the final solution perfectly maps to the complex business logic it is meant to serve.

My tenure at Softaims has reinforced the importance of careful planning and risk mitigation. I am skilled at breaking down massive, ambiguous problems into manageable, iterative development tasks, ensuring consistent progress and predictable delivery schedules.

I strive for clarity and simplicity in both my technical outputs and my communication. I believe that the most powerful solutions are often the simplest ones, and I am committed to finding those elegant answers for our clients.

Main technologies

  • AI, Python and General Development

    1 year

  • Lovable AI

    1 Year

  • AI Development

    1 Year

  • Langchain

    1 Year

Additional skills

Direct hire

Potentially possible

Previous Company

Systems Limited

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Experience Highlights

AI voice Lead Qualification Agent

This is an AI-powered Voice Agent system for a real estate company that automates lead qualification from inbound calls. Using Vapi.ai for natural voice conversations, Twilio for telephony, and Make.com for workflow automation, the system asks key property questions, evaluates leads based on custom criteria, and sends qualified lead summaries to the sales team. This solution saves time, improves lead quality, and accelerates property estimation follow-ups—delivering scalable, 24/7 voice intake.

Agentic RAG for Aluminium Services Company

This is a RAG-powered AI Agent for Jallandhar Aluminium services company to automate 24/7 client support on their website. Integrated using Botpress and trained on real service content (doors, windows, facades), the bot handles product inquiries, guarantees, timelines, and more. Also embedded Calendly for direct consultation bookings. Hosted with clean UI and seamless UX. Boosted client engagement, reduced workload, and increased lead conversions.

AI-Powered Medical Guidelines Chatbot

This AI-powered Medical Guidelines Chatbot simplifies complex medical decision-making by enabling healthcare professionals to access, interpret, and apply medical guidelines through natural language queries. This solution addresses the challenges of time constraints, guideline complexity, and patient-specific scenarios in clinical practice. By integrating Retrieval-Augmented Generation (RAG) technology, the assistant streamlines decision-making, enhances patient care, and helps practitioners stay updated with the medical recommendations, all within an intuitive and user-friendly interface.

AI Powered Chat with Documents

It is a tool that enables intelligent interaction with PDF documents using advanced NLP models like Meta's Llama 3.3 and Mistral embeddings. It supports multiple PDFs, processes text into manageable chunks for semantic coherence, and utilizes FAISS for efficient vector-based retrieval. Users can ask real-time questions, with responses generated contextually from the documents, maintaining conversation history. It gives user the ability of finding anything from their document with only one prompt, which saves the user from the hustle to skim through every page manually.

AI Powered Documentation Assistant

The RAG-Powered Documentation Assistant is an advanced question-answering system that leverages Retrieval-Augmented Generation (RAG) to provide accurate, context-aware responses about multiple AI frameworks. By combining the power of modern language models with efficient information retrieval, the system offers an advanced question-answering system for developers seeking documentation assistance. The implementation utilizes a robust FAISS vector store for efficient similarity search and retrieval, while LangChain handles the complex document processing pipeline.

Education

  • Lahore University of Management Sciences

    Bachelor of Science (BS) in Economics

    2024-01-01-2028-01-01

Languages

  • English
  • Hindi
  • Urdu

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