Hello, I'm
Shahbaz Raza
Software Engineer
Passionate Software Engineer with 5+ years of experience crafting robust backend solutions. Specialized in Python, microservices, and cloud-native architectures. Currently optimizing scalable systems at Motive, with a track record of reducing deployment times by 25% and increasing test coverage by 40%.
Get To Know More
About Me
Experience
5+ years
Backend & Automation
Education
B.Sc. Computer Science
NUCES, Lahore
"Architecting the backbone of tomorrow's digital solutions."
Currently working as Software Engineer at Motive (remote USA), I specialize in designing and optimizing scalable backend applications using Python, Django, and FastAPI. I've led microservices migrations, implemented Pub/Sub systems, and reduced deployment times by 25%. Previously at Ibisdev (Paris) and Blueeast (Lahore), I developed 30+ automated crawlers and deployed 4 microservices, achieving significant performance improvements and cost reductions.
My Core
Skills & Expertise
Core Technologies
Languages & Frameworks
Databases
Cloud & DevOps
Architectures
My Expertise
Pub/Sub Systems
Event-driven architectures and automated testing pipelines
Microservices
Scalable backend applications and API development
Automation
Web scraping, CI/CD pipelines, and infrastructure as code
DevOps
Kubernetes, Docker, Terraform, and monitoring solutions
Browse My Recent
Featured Projects
Bugatti Baby
E-commerce platform for luxury baby products. Built scalable backend APIs, payment integration, and inventory management system.
Ferrari Baby
Automotive configurator platform. Developed real-time 3D visualization and custom configuration system.
Bentley JNR
Luxury car customization platform. Built interactive configurator with real-time pricing and 3D rendering.
Wabi2b
B2B marketplace platform. Developed supplier management and order processing systems.
Dviz Technologies
Digital transformation agency website. Built content management and lead generation systems.
Morphood
Built an AI-powered recipe and meal planning platform with dynamic web scrapers, personalized recommendations, and a voice-guided cooking assistant deployed via serverless architecture.
Sidekick
A comprehensive multi-tenant application platform that enables organizations to create and deploy custom AI assistants tailored to their specific needs. Users can build their own intelligent assistants with RAG (Retrieval Augmented Generation) capabilities, allowing seamless communication with Large Language Models (LLMs). Each organization can configure different chatting agents based on their specific gigs and workflows, providing personalized AI interactions that enhance productivity and streamline operations across diverse business contexts.
Get in Touch