Kevin – Flask, Python, AWS

A cloud infrastructure platform providing microservices-based backend services for managing and monitoring cloud resources. The platform integrates with OpenStack for infrastructure provisioning and management, uses Gnocchi for time-series metrics and resource monitoring, and provides object storage through RadosGW. Its architecture includes custom automation workers and distributed services running on Kubernetes, with Redis and RabbitMQ supporting caching and asynchronous messaging.

• Managed multiple microservices using Flask and leveraged Redis for caching and message brokering.
• Built FastAPI/Flask microservices backed by Redis and RabbitMQ for caching and asynchronous messaging.
• Utilized OpenStack to develop and deploy an OpenStack worker for managing cloud infrastructure.
• Implemented Gnocchi for time-series data collection and resource metrics monitoring in cloud environments.
• Introduced Hypothesis and Schemathesis for unit testing because the codebase lacked proper test coverage.

A marketing automation platform for collecting and analyzing social and web data, managing media assets, and launching advertising campaigns across multiple channels. The platform combines data scraping, automated media processing, analytics, and multi-channel campaign management to streamline marketing workflows and support data-driven advertising.

• Crafted advanced SQL and PostgreSQL queries for in-depth data aggregation and insights.
• Enhanced data scraping capabilities with new features on a Celery- and Flask-based infrastructure.
• Led the development of a media processing infrastructure for automated tagging and efficient uploads as a serverless Flask module.
• Built a sophisticated multi-step advertising launcher with multiple integrations and assistance features to boost marketing efficiency using FastAPI.
• Developed a real-time notification service using WebSocket for enhanced user engagement.
• Implemented caching and load balancing techniques to accelerate software performance.

A remote identity verification platform providing digital onboarding and KYC flows for regulated businesses, including banks and fintech companies. End users complete guided browser-based verification by capturing identity documents, performing liveness and selfie checks, and confirming their details, helping businesses verify customers remotely while meeting security and compliance requirements.

• Developed and maintained Invyd.io's remote sign-up and KYC solutions using React and Typescript, ensuring a simple and user-friendly process for end-users while maintaining security and compliance.
• Utilized WebSocket for real-time communication, enabling instant updates and interactions between end-users and the Invyd.io platform.
• Implemented Tealium and Google Tag Manager to track and analyze user behavior and engagement.
• Modified react-webcam source code to add extra functionality needed for camera manipulation.
• Reduced overall complexity by abstracting step logic using custom hooks, resulting in less code duplication and multiple bug fixes.
• Converted the codebase to use Vite instead of Create React App, leading to faster development loading times and faster builds.

Enterprise resource planning systems for business clients, covering core operations such as inventory, sales, accounting, and customer management. The solutions use Odoo as a flexible ERP foundation, with custom modules and integrations tailored to specific business processes, alongside React-based micro-frontends and internal web services for connected business tools.

• Developed multiple modules for different enterprise projects using Odoo, a Python framework for developing ERP systems.
• Designed and integrated multiple web services using the Flask framework to enable communication between multiple internal tools.
• Implemented a detection algorithm that resulted in a 30% decrease in spam and fraudulent customer activity.
• Contributed to the creation of an internal ERP tool using React micro-frontends.