Hello, I'm

Muhammad Ahmed

Software Engineer

4+ Years Experience
20+ Projects Completed
5+ Technologies

Experienced Software Engineer specializing in Python, API development, and cloud technologies. Building scalable solutions and optimizing workflows with a focus on performance and reliability.

Muhammad Ahmed
4+ Years
Experience
🐍
☁️
🔌

Technologies and Skills

☁️

Cloud and Platforms

AWS Lambda AWS ECS AWS EKS API Gateway AWS S3 AWS IAM AWS VPC Security Groups Apache Spark
Cloud Proficiency
💻

Programming Languages and Tools

Python Django FastAPI Flask JavaScript ReactJS Redis Docker Kafka Selenium Git GitHub Actions Robot Framework SQL CI/CD
Backend
Frontend
DevOps
🤝

Soft Skills

🧩
Problem Solving
Analytical approach to complex technical challenges
🔄
Adaptability
Quick learning and adaptation to new technologies
💬
Communication
Clear technical and non-technical communication
⚙️
QA Process Optimization
Streamlining testing workflows for efficiency
🤖
Test Automation
Building robust automated testing frameworks
📊
SAFe/Agile
Experience with agile methodologies

Professional Experience

Software Engineer

📅 Jan 2023 – Present
  • API System Architecture

    Architected and implemented a centralized API system using FastAPI, Pydantic, and RabbitMQ that successfully handles over 1 million daily requests, resulting in $500K cost savings through improved efficiency.

  • Framework Migration & Optimization

    Led the migration from Flask to FastAPI while optimizing MySQL query performance and implementing a robust message broker system with RabbitMQ and Redis, increasing throughput by 60%.

  • Desktop Application Development

    Engineered a custom desktop application leveraging Python, Selenium, and PayPal API integration that reduced manual operations time by 70% and streamlined payment processing workflows.

  • Large-Scale Data Migration

    Spearheaded a complex data migration project transferring 1.5 million support tickets from Microsoft Outlook to Zendesk through custom integration between Microsoft Graph API and Zendesk API.

  • LLM Integration for Support

    Developed an innovative Zendesk plugin utilizing Large Language Models (LLM) with webhook integrations to Outlook, Claude and OpenAI, reducing average ticket resolution time by 40%.

  • Advanced SEO Workflow

    Created an advanced SEO workflow system integrating multiple AI technologies (Google Gemini, DALL-E) with 7+ external REST APIs, enhancing content generation and optimization processes.

FastAPI RabbitMQ Redis Python React API Development Zendesk LLM

Software Engineer

📅 Jul 2021 – Feb 2023
  • Integration Platform Management

    Designed, implemented, and maintained over 50 integration processes on Dell Boomi for a major eCommerce platform, ensuring seamless data flow and system interoperability across multiple business domains.

  • Loyalty Program Integration

    Successfully architected and deployed a Customer Loyalty Program integration using Python, AWS Lambda, API Gateway, and Yotpo, resulting in a 25% increase in customer retention.

  • API Gateway Implementation

    Leveraged Google Apigee X/Edge platform to strategically expose internal APIs to external microservices, implementing robust security protocols and performance monitoring.

  • Enterprise Integration

    Gained comprehensive expertise in MuleSoft Anypoint Platform while contributing to a large-scale telecommunications integration project that improved system reliability by 35%.

  • API Management Training

    Received advanced training and certification in 3Scale API Management and RedHat Fuse integration, subsequently applying these technologies to streamline enterprise workflows.

  • RESTful Service Development

    Contributed to the development of RESTful services using Python frameworks (Flask and FastAPI), implementing automated testing pipelines that reduced deployment issues by 40%.

Dell Boomi AWS Lambda API Gateway Google Apigee MuleSoft 3Scale Python Flask

Projects

Federated Learning for Distributed Systems

Python Machine Learning API

Built a federated learning framework in Python with a secure API, integrated concept drift detection, and optimized model performance through batch and online learning. The dataset used is a time series dataset.

🔒
Secure data sharing between distributed nodes
📊
Real-time concept drift detection
Optimized for performance with batch processing

Virtual Model Interaction Training Software

Unity C# Blender

Developed an interactive training app in Unity using C# and 3D models from Blender, enabling users to interact with virtual models for training. Focused on providing immersive, efficient training experiences.

🎮
Immersive user interaction with 3D models
🧠
Effective knowledge retention through visual learning
💻
Cross-platform compatibility

Edge Device Application for Background Removal

Python OpenCV Deep Learning

Developed an edge device app using Python and Tkinter, integrating a deep learning model for real-time background removal and video analysis with OpenCV, optimized for on-device performance.

Real-time processing on resource-constrained devices
🖼️
High-quality background removal
📱
Optimized for mobile and edge devices

API Development for Social Media Integration

AWS Lambda REST API Social Media

Built a Social Media Integrator API with AWS Lambda for simultaneous posting on multiple platforms. Implemented secure authentication flows and optimized for high throughput.

🔄
Simultaneous multi-platform posting
🔐
OAuth integration for secure authentication
☁️
Serverless architecture with AWS

Education

Master's in Computer Science and Engineering

📅 Aug 2023 – April 2025
🎓
Key Focus Areas

Advanced Software Engineering, Cloud Computing, Machine Learning

🏆
Achievements

Research assistant for Cloud Computing and Edge AI projects

Notable Courses
Advanced Cloud Systems Machine Learning Distributed Systems Advanced Software Engineering

BS in Computer Engineering

📅 Sep 2017 – Jul 2021
📊
Final Project

Developed an AI-based video analytics system for automated surveillance

🔍
Research Focus

Computer Vision and Embedded Systems

Core Competencies
Algorithms Data Structures Computer Architecture Embedded Systems Software Engineering