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Muhammad Z. Cloud, AI and DevOps Platforms

My name is Muhammad Z. and I have over 14 years of experience in the tech industry. I specialize in the following technologies: Amazon Bedrock, Amazon Web Services, Chatbot Development, ChatGPT, AWS Lambda, etc.. I hold a degree in Master's degree, Bachelors, Master's degree. Some of the notable projects I've worked on include: Enterprise Multi-modal & Graph RAG Platform for Professional Services, AWS Serverless Event-Driven Microservices Architecture, AWS SimuLearn: Create an Enterprise Knowledge Assistant, ShipStation and DecoNetwork Integration. I am based in Islamabad, Pakistan. I've successfully completed 4 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

  • Cloud, AI and DevOps Platforms

    14 years

  • Amazon Bedrock

    2 Years

  • Amazon Web Services

    12 Years

  • Chatbot Development

    10 Years

Additional skills

  • Amazon Bedrock
  • Amazon Web Services
  • Chatbot Development
  • ChatGPT
  • AWS Lambda
  • Python
  • Terraform
  • DevOps
  • Cloud Security
  • Retrieval Augmented Generation
  • Docker
  • Kubernetes
  • FastAPI
  • React
  • CI/CD

Direct hire

Potentially possible

Previous Company

SatisSolution

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Experience Highlights

Enterprise Multi-modal & Graph RAG Platform for Professional Services

Designed and built an enterprise-grade AI assistant platform using Retrieval-Augmented Generation (RAG) to enable secure, private, and compliant AI interactions over organizational data. The platform

AWS Serverless Event-Driven Microservices Architecture

This repository demonstrates a fully Serverless, Event-Driven Architecture on AWS. It is designed to handle high-traffic bursts without managing a single server. The application is an Order Processin

AWS SimuLearn: Create an Enterprise Knowledge Assistant

The Sales department lacks quick access to historical and current sales data, leading to varying interpretations and answers to similar sales queries. This results in longer resolution times for

ShipStation and DecoNetwork Integration

A complex mechanism for APIs was demanded be the client in this project. The Project Included the following things 1: Order export from DecoNetwork API (http://www.deconetwork.com/) Based on diff

Education

  • PMAS Arid University

    Master's degree in Computer science

    2013-01-10-2015-12-10

  • Virtual University, Pakistan

    Bachelors in Computer science

    2008-02-10-2010-07-10

  • Air University

    Master's degree in Cyber Security

    2023-01-01-2025-01-01

Languages

  • English (Native or Bilingual)
  • Urdu (Native or Bilingual)