hamza@portfolio ~

// Welcome to my portfolio

const engineer =

name: "Mohammad Hamza Awan",

role: "AI Engineer",

certified: "AWS",

};

Building Intelligent Systems
at Enterprise Scale

AI Engineer with 4 years of experience building production-grade generative AI systems, intelligent agents, and scalable cloud architectures. Specialized in AWS, Amazon Bedrock, Azure OpenAI, and RAG-based applications.

4+ Years Experience
10+ Production Systems
3 AWS Certifications
Scroll to explore

Who I Am

I'm an AI Engineer based in Islamabad, Pakistan, passionate about building intelligent systems that solve real-world problems at scale. With 4 years of experience in the field, I've developed and deployed production-grade AI solutions for enterprise clients.

My expertise lies at the intersection of Generative AI, Cloud Architecture, and MLOps. I specialize in designing and implementing systems that leverage Large Language Models, RAG architectures, and intelligent agents to automate complex workflows and enhance business operations.

Currently, I'm a Senior Consultant at Systems Limited, where I architect enterprise AI platforms, build scalable serverless solutions, and lead the development of the organization's flagship Generative AI Studio.

Enterprise Focus Building systems that scale to thousands of users
Production-First Every solution is designed for real-world deployment
Published Author AWS Partner Network Blog contributor
1 class AIEngineer:
2 def __init__(self):
3 self.location = "Islamabad"
4 self.experience = 4
5 self.focus = [
6 "Generative AI",
7 "Cloud Architecture",
8 "MLOps"
9 ]
10
11 def build(self, problem):
12 return self.innovate(problem)

Tech Stack

AI & Machine Learning

Large Language Models 95%
RAG Architecture 90%
LangChain / LangGraph 90%
Amazon Bedrock 90%
Azure OpenAI 85%
MLflow / BentoML 80%
SageMaker 85%
Weaviate 75%

Cloud Platforms

AWS Lambda 95%
AWS EC2 / S3 / VPC 90%
DynamoDB / RDS 85%
API Gateway / SQS 90%
Azure Functions 80%
Azure App Service 80%
CosmosDB 75%
IAM / Security 90%

Development

Python 95%
FastAPI 90%
Flask 85%
SQL 85%
Git 90%
REST APIs 95%
OpenAPI / Swagger 85%

DevOps & Infrastructure

Docker 90%
Terraform 80%
CI/CD Pipelines 85%
Linux / Bash 85%
ECR / Container Registry 85%
Jenkins 75%

// Tools & Technologies I Work With

AWS
Azure
Python
LangChain
OpenAI
Claude
Bedrock
Docker
Terraform
PostgreSQL
FastAPI
SageMaker
Lambda
RAG
Vector DBs
MLflow

Where I've Worked

Senior Consultant

@ Systems Limited

Oct 2021 – Present Islamabad, Pakistan

Leading AI initiatives and architecting enterprise-grade AI platforms for global clients.

  • Architected flagship Generative AI Studio platform serving as central hub for all AI initiatives
  • Engineered scalable serverless translation platform using AWS Lambda, Amazon Translate, SQS, and RDS
  • Developed Amazon Bedrock Agent-powered ServiceNow automation solution for enterprise workflows
  • Implemented comprehensive model integration framework supporting Azure OpenAI, Bedrock, and open-source models
  • Led development of TextRay, an AWS-based automated information extraction system (published in AWS Partner Network Blog)
  • Optimized cloud infrastructure costs through FinOps strategies and automated monitoring solutions
AWSAzurePythonLangChainBedrockOpenAITerraformDocker

Bachelor of Science, Computer Science

FAST-NUCES, Islamabad

Class of 2021

What I've Built

Platform

Generative AI Studio

Architected the organization's flagship AI platform serving as the central hub for all AI initiatives. Includes multiple production-ready applications with enterprise-grade security.

  • Resume matching system integrating with HR workflows
  • Resource allocation optimizer using text-to-SQL capabilities
  • Architecture analysis and IaC generation tool
  • Technical knowledge base with advanced RAG implementation
Serverless

Enterprise Translation Platform

Scalable serverless translation platform supporting global document translation needs with real-time and batch processing capabilities.

  • 8+ document format support (PDF, DOCX, PPTX, XLSX, etc.)
  • Real-time translation with format preservation
  • Batch processing for large-scale operations
  • Domain-specific glossary management
  • Role-based access control system
AI Agent

ServiceNow AI Agent

Amazon Bedrock Agent-powered automation solution enabling natural language incident creation and service request fulfillment across enterprise.

  • Natural language incident creation
  • Service request automation (password reset, account unlock)
  • OpenAPI schema-based action groups integration
  • Multi-step data collection with natural dialogue
ML

TextRay - Document Intelligence

AWS-based automated information extraction system for mortgage documents. Featured in AWS Partner Network Blog.

  • Deep learning models for document understanding
  • OCR-powered automated document processing
  • Intelligent data extraction pipelines
  • Published architecture on AWS Partner Network
MLOps

MLOps Pipeline

End-to-end ML pipelines for customer churn prediction with automated training and deployment workflows.

  • Automated model training with SageMaker
  • CI/CD integration with Jenkins and MLflow
  • ITSM ticket classification using BERT
  • Dynamic dashboard integration
DevOps

Cloud FinOps & DR

Comprehensive cloud infrastructure optimization and disaster recovery automation solutions.

  • Cost optimization through FinOps strategies
  • Automated cost reporting Lambda functions
  • Disaster recovery system implementation
  • Resource monitoring and alerting

Certifications & Publications

Certifications

AWS Certified Machine Learning Engineer

Associate

Amazon Web Services

Verify

AWS Certified Cloud Practitioner

Foundational

Amazon Web Services

Verify

Generative AI Fundamentals

Accredited

Databricks

Verify

Let's Connect

I'm always interested in discussing new projects, innovative AI solutions, or opportunities to contribute to cutting-edge technology. Whether you have a question or just want to say hi, feel free to reach out!

Send me an email
contact.py
1 # Let's build something amazing together
2
3 def connect():
4 collaboration =
5 "AI Solutions": True,
6 "Cloud Architecture": True,
7 "Consulting": True,
8
9 return "Let's talk!"
10
11 # Response time: < 24 hours
12 _