Ahmad – Python, React, AWS

It's an enterprise retail media platform that lets retailers and brands launch, manage, and scale onsite and offsite advertising programs using AI, analytics, and unified order-billing workflows.

• Built an ETL pipeline using Snowflake Task Graph to ingest data from various sources, enriching customer data, and directly supporting the launch of new features.
• Implemented a generative AI pipeline that interprets natural language requests via an MCP server to dynamically select and execute SQL queries, fully automating the production of custom reports.
• Improved CI/CD deployment pipeline in CircleCI by containerizing key build stages and leveraging dependency artifacts to decrease build time by 50%.
• Co-designed and implemented IaC using Terraform and Ansible, making infrastructure changes repeatable, version-controlled, and auditable.
• Streamlined report generation by implementing caching (using Pandas and Redis) and introducing async processing with Celery workers, significantly improving scalability and response times.
• Achieved a 95% performance improvement in application list pages by improving queries to eliminate N+1 instances.

It's a data and intelligence platform that uses AI to scan millions of public documents and turn them into predictive sales insights for companies selling into North American public infrastructure markets.

• Mentored junior developers.
• Containerized services to transition from a monolithic component to multiple microservices, achieving significant efficiency improvements.
• Implemented minikube to simplify local testing using a Kubernetes environment.
• Created ETL pipelines in Apache Airflow to precompute denormalized data, improving platform performance.
• Implemented containerized microservices in GCP Cloud Functions and Cloud Run to handle API requests, execute database queries producing CSV files, store results on Cloud Storage, and email download links via Mandrill and Mailchimp.

It's a data and intelligence platform that uses AI to scan millions of public documents and turn them into predictive sales insights for companies selling into North American public infrastructure markets.

• Implemented a reusable React/Django component for full back-end pagination, filtering, and sorting to display large datasets.
• Implemented Multi-Factor Authentication, allowing users to opt in for email and text verification.
• Implemented client-side PDF generation to let users share data with non-registered users.
• Implemented a mock data solution with CI/CD improvements, enabling developers and QA to test code changes using tailored data.

It's a startup that uses AI-driven insights to help project owners and contractors in construction trust each other, while also enabling financial institutions to assess smaller contractors more efficiently.

• Developed payment integration using Stripe, including subscriptions, tax calculation, prorated refunds, upgrades, and direct invoicing.
• Developed a secure file storage system using GCP Cloud Storage with object-specific user permissions.
• Updated the React front-end with a custom routing framework that included page-specific permissions, migrated many APIs to the existing Redux store, created new React Hooks, and led the migration from Styled Components to CSS Modules.
• Integrated server-side logging with admin emails and rotating logs.
• Led code reviews and assisted other developers in constructing new components using modern development techniques.

• Built a REST API with authentication, geolocation, user management, data storage, and email service.
• Deployed the API using AWS EC2, Route53, CloudFront, S3, SES, and Apache Server.
• Built a web app and dedicated apps for Android and iOS using React, React Native, and JavaScript.
• Developed a payment framework using Stripe with Custom Accounts to allow for a fully white-label experience for payments and payouts.
• Coordinated team collaboration with source control using Git.

It's a software company that built mobile apps and AI-powered features, including an AI recommender system integrated into an API, and developed React Native apps with proprietary and open API integrations.

• Developed integration of an AI recommender system for the API.
• Built a mobile app using React Native with proprietary and open API integration.