Ben – React, Python, Django

The project harnesses the power of Artificial Intelligence to streamline procedural and diagnosis coding processes in the healthcare sector.

• Built data pipelines from scratch;
• Integrated with clients' data sources;
• Implemented MLOps practices for model development;
• Ensured code stewardship.

The company is dedicated to transforming healthcare by establishing a comprehensive care system within the home environment. They aim to bring the capabilities and expertise typically associated with hospitals directly to the comfort and convenience of patients' homes. Through this endeavor, they strive to enhance access to quality healthcare services while prioritizing patient comfort and well-being.

• Led the migration of the outdated Ruby service to a microservices-oriented platform, developing it entirely from scratch using Golang;
• Conducted unit testing to ensure code reliability;
• Implemented performance improvements.

The company is an education technology startup dedicated to creating outstanding video and interactive content experiences for education.

• Delivered new user-facing features and implemented SEO optimizations;
• Updated the codebase to meet modern standards;
• Conducted unit testing to ensure code quality;
• Enhanced maintainability of the system.

Cutting-edge software designed specifically for law enforcement agencies to streamline operations and enhance efficiency.

• Developed web-based frontend UIs using React.js, Chakra UI, and Typescript;
• Constructed backend applications and libraries with Typescript, leveraging TDD;
• Built and maintained RESTful and GraphQL backend systems;
• Implemented the OpenEBTS file format standard as a reusable library.

The company is a premier provider of transportation and logistics services.

• Maintained the software tools and applications supporting the business's client-serving efforts;
• Orchestrated the migration of old codebases and re-designed outdated solutions to ensure they remained updated and maintainable;
• Processed, augmented, and transformed large route and destination datasets;
• Handled high-volume telematics data from trucks to produce safety alerts;
• Created real-time messaging applications for drivers and fleet leaders;
• Upgraded outdated software modules to handle higher loads and improve efficiency;
• Refactored legacy components interacting with transportation vendors, applying modern practices, with a user base of approximately 200,000 clients.