Farhan Shoukat Email & Phone Number

Mckinney, Texas, United States

• An application, by a US company, allows business users to rapidly launch turn-key storefronts and shoppable landing pages without relying on IT. It empowers merchants, accelerates time-to-market, and enables unique.
• Migrated the frontend of the application from EC2 to S3/CloudFront, which has significantly improved the scalability, reliability, and performance of the application.
• Migrated the application to Docker and fully documented the process, which improved the parity between the environments and drastically reduced the time of developer onboarding.
• Migrating the backend of the application to ECS and added auto-scaling. This ensures the application can scale based on the load, ensuring scalability and reliability. This reduced the EC2 costs by 90% and deployment.
• Added docker image vulnerability scanning in CI, which helped catch various security vulnerabilities.
• Added static application security testing (SAST) for both application and infrastructure code, which helped fix multiple security issues.

Lahore, Punjab, Pakistan

• CRM by a US startup from Boston (confidential) for creating landing pages/dynamic websites through CSVs, with 1.500+ clients and 20k pageviews per day.
• Working in an agile team of 4 engineers, developing 1 monolith and 1 microservice using Django, FastAPI and Celery.
• Built the entire framework for dynamic pages from scratch, which is being used by enterprise clients like United Airlines.
• Built the entire framework for conditional content and personalized/ customized pages and integrated Shopify with our application, which brought more than 500 new clients.
• Migrated our proprietary markup language from Jinja syntax to JSX syntax, which increased efficiency of the content team.
• Migrated synchronous to asynchronous image resizing, which resulted in better page load times.

Lahore, Punjab, Pakistan

• Sentimeter - Pakistani SaaS platform used by Metro and McDonald’s providing advanced diagnostics/analytics tools on customer feedback.
• I worked in a team of 3 developing the app using Django, Celery ReactJS and React Native.
• Improved software security by implementing best practices for app/infrastructure.
• Increased performance by using various optimization techniques (transactions and data prefetching).

Lahore, Pakistan

• Cheetay is a Pakistani delivery startup for food, groceries and medicine, backed by a $20M series-b funding.
• I was part of an agile team of 4 (30+ developers worked on the whole project) and in charge of building the logistics application using Django and Celery.
• Migrated the entire logistics backend from Flask to Django, which resulted in faster development.
• Integrated Celery in the app to run long-running tasks asynchronously.
• Also migrated the rider assignment algorithm from Vanilla Python to Django and applied optimization techniques like data prefetching/caching which allowed the algorithm to handle 400k orders per day from 1k before.
• Built order auto-assignment which increased on-time delivery rate by 30% and order completion rate by 40%.

Bachelor'S Degree, Computer Science, 3.55/4.00

React Nanodegree Program, Computer Software Engineering

Cloud Developer Nanodegree, Computer Software Engineering

Cloud Devops Engineer, Devops