Muhammad Salman
Muhammad Salman

AI Engineer

Open to offers · Member since 20 Oct 2026
Location
Karachi, Pakistan
Desired salary
Unspecified
Work preference
Remote Only
Experience level
Mid

About

Professional summary

I am an AI Engineer specializing in building production-ready LLM agents, retrieval-augmented generation applications, voice AI systems, and enterprise automation solutions. I have shipped more than 10 AI products across healthcare, compliance, marketing, and business operations.

I build end-to-end AI applications using Python, LangChain, LangGraph, FastAPI, React, and modern LLM APIs. My work includes tool-calling agents, multi-agent systems, conversational interfaces, real-time workflows, and secure integrations with external services.

I have developed OAuth-secured AI integrations for Microsoft 365, Gmail, Notion, Google Sheets, CRM platforms, and other APIs. I am experienced in designing systems that connect AI models with business tools while maintaining human approval workflows for sensitive actions.

In my current role, I build voice agents and healthcare chatbots that provide conversational health assistance, provider search, and structured intake support. I focus on making AI products useful, accessible, and reliable for real users.

My technical background also includes data engineering, ETL pipelines, analytics dashboards, semantic data marts, SQL databases, and backend automation. I bring experience from AI engineering, full-stack development, data analysis, and machine learning internship roles.

I am fluent in English and Urdu and am passionate about applying generative AI, automation, and data systems to solve practical business and operational problems.

Skills

24 capabilities

Tech stack & tools

Working toolkit

Collaboration

Development

Experience

Career history

AI Engineer iHealth and Wellness Foundation

I build LLM-powered voice agents and conversational health solutions that deliver instant health assistance and improve user engagement. I architect end-to-end pipelines using Python, LangChain, and FastAPI.

I developed a health-focused AI assistant with provider search through external API and OAuth-secured data-source integrations. I also build user-facing chatbots using LangGraph workflows and real-time response handling to automate healthcare interactions.

AI Engineer (Full Stack AI) Matz Solutions

Built LLM-powered automation and agent-based systems in Python and LangChain, including tool-using workflows connected to external APIs and services. Developed a Microsoft 365 AI agent that worked across Outlook, Calendar, OneDrive, and Docs APIs using OAuth 2.0 security.

Delivered a LangGraph voice research agent, compliance and healthcare RAG assistant, and Quran Tadabbur AI assistant. Implemented AI image and video generation workflows using Fireworks AI.

Junior Data Analyst Nodebook Pvt. Ltd.

Delivered ETL pipelines, dashboards, and automated analytics workflows to support data-driven operations.

Contributed to data preparation, reporting, and analytics automation initiatives.

Machine Learning Intern NCAI Smart City Lab

Worked on data ingestion, semantic data marts, and backend automation for intelligent data applications.

Supported the development of data infrastructure and backend workflows for smart city and machine learning-related initiatives.

Education

Learning history

NED University of Engineering & Technology

B.E., Computer Information Systems

Bachelor of Engineering in Computer Information Systems. Certifications include AWS Cloud Fundamentals and IBM Data Science.

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