Syed Muhammad Mehdi
From APIs to UI, I build what businesses need.
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At Carscrack Pvt Ltd, I play a key role in designing and scaling backend systems for a growing automotive marketplace platform. My work revolves around building reliable, high-performance APIs and leading backend architecture decisions that directly impact the product’s core functionality.
What I Did
Developed robust RESTful APIs using Django & Django REST Framework for core modules like car listings, vendor management, and user systems
Designed and implemented authentication systems, including OTP-based login flows and secure JWT handling
Built structured database schemas using PostgreSQL, ensuring scalability and optimized query performance
Worked on real-time features such as messaging systems using WebSockets
Integrated third-party services like Twilio (SMS OTP), Firebase, and WhatsApp APIs for communication workflows
Collaborated closely with frontend developers to ensure seamless API integration and performance
What I’m Doing
Leading backend development and managing a small team, ensuring code quality and scalable architecture
Building advanced modules like:
Car trade system (multi-step workflows, scheduling, matching logic)
Vendor sub-user system with role-based permissions and approval flows
Caching systems for temporary data handling and performance optimization
Improving system performance, handling edge cases, and refining business logic for production-level reliability
Mentoring team members and contributing to better development practices
What I Will Do Next
Architect and implement microservice-ready backend structures for future scalability
Introduce advanced search & filtering systems for cars and parts (high-performance querying)
Optimize infrastructure with Docker-based deployments and better CI/CD pipelines
Enhance real-time capabilities and automation across the platform
Contribute to product strategy by aligning technical decisions with business growth
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I worked as a backend developer on Loveyourdoorstep, a Django-based business directory and community platform.
I was responsible for designing and developing core backend features including a custom membership system, business listing architecture, and recurring events functionality. I also integrated Google Analytics tracking to help monitor user behavior and platform performance.
Beyond feature development, I handled complex debugging, resolved production-level issues, and managed merge conflicts across feature branches in a collaborative team environment.
This role allowed me to contribute not just as a developer, but as a problem-solve building scalable backend systems while ensuring smooth deployments and team coordination.
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SehatFlow Case Study
Intelligent WhatsApp Automation for Clinics
Overview
SehatFlow is a backend-driven SaaS platform designed to automate clinic operations through WhatsApp, enabling seamless patient communication and reducing appointment no-shows.
The goal was to replace manual coordination with an automated, scalable system built on the Meta WhatsApp Cloud API.
The Problem
Clinics were facing:
High number of missed appointments
Manual and time-consuming patient communication
Lack of centralized system for bookings and follow-ups
Inefficient tracking of patient interactions
These inefficiencies directly impacted revenue and operational productivity.
The Solution
I designed and developed a scalable backend system that automates the entire patient communication lifecycle via WhatsApp.
The system enables:
Automated appointment booking through WhatsApp
Real-time reminders and follow-ups
Structured patient interaction management
Reduced manual workload for clinic staff
Technical Implementation
Built RESTful APIs using Django & Django REST Framework
Engineered WhatsApp automation workflows using Meta WhatsApp Cloud API
Developed an event-based scheduling system for reminders
Implemented secure OTP-based authentication (phone-first approach)
Designed scalable database architecture for multi-clinic support
Created logging and tracking for message delivery and interactions
Architecture Highlights
Modular backend design for easy scalability
Asynchronous handling of messaging workflows
Clean separation of business logic and communication layers
Optimized for reliability and performance under real-time usage
Impact
Reduced manual communication workload significantly
Decreased appointment no-shows through automated reminders
Improved patient engagement via WhatsApp automation
Enabled clinics to operate more efficiently at scale
My Role
Led backend development end-to-end, including:
System architecture design
API development & optimization
Third-party integration (Meta WhatsApp Cloud API)
Database modeling and performance tuning
Closing Line
Built a production-ready backend system that transforms how clinics manage patient communication — leveraging WhatsApp as a primary interface for automation and engagement.:
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