Radu Ifrim

SOFTWARE ENGINEER, Correla – United Kingdom (June 2022 – Present)

Engineered RESTful/gRPC APIs using Go & Java, complemented by Angular TS for front-end applications, improving system responsiveness and user interface experience.
Constructed Docker images for microservices, promoting effective resource isolation and app consistency across environments.
Streamlined the software development lifecycle by setting up efficient CI/CD pipelines, which enhanced deployment speed and reliability, as well as improved testing accuracy.
Formulated advanced Git strategies, resulting in improved team collaboration, more efficient version control, and better code management.
Worked closely with Product Owners and business teams to create solutions that corresponded to product roadmap objectives, ensuring business needs were met effectively.
Developed scripts in Python, Go, PowerShell, and Bash to automate various tasks, saving significant manhours and reducing potential errors in infrastructure provisioning, configuration management, and deployment processes.
Leading the shift from manual infrastructure to Terraform/Ansible, advocating IaC principles to boost scalability, manageability, and reproducibility.
Authored detailed deployment instructions, run books, and release notes for production deployments to assure alignment with company policies.
Created alert systems for microservices and infrastructure, enhancing issue detection and resolution speed, thereby promoting system reliability and uptime.

Crafted automated tests and utility scripts using Python and Go, improving testing efficiency, accuracy, and coverage.
Headed the API testing framework and automation tests, resulting in more comprehensive and reliable API testing.
Worked on Jenkins CI/CD pipelines for multi-clustered applications to perform instrumented builds and to gather code coverage through automation tests using SonarQube, enhancing code quality & coverage and reducing debugging time.
Managed the deployment and debugging of complex applications for development and QA teams, fostering a more efficient development process.

TECHNICAL AUTHOR, Better Programming Publication, Medium (March 2023 – Present)

Machine Learning Image Analysis and Recommendation Engine

Developed an image analysis machine learning model capable of identifying specific objects within images and automatically removing the background for a cleaner visual presentation.
Created a recommendation system using reinforcement learning that intelligently suggests combinations based on identified objects from the images.
Implemented a personalized recommendation model to suggest items that align with user's preferences, enhancing user engagement and satisfaction.

Go Code Test Analyzer (GCTA)

GCTA is a tool for gaining a deeper understanding of your Go codebase.
It provides a comprehensive snapshot of your codebase's structure and test coverage for each file.
GCTA can output in a user-friendly tabular format in the terminal and supports markdown format as well.
It uses Go's powerful concurrency model to efficiently analyse large codebases.

Azure Subscription Switcher (azss)

azss is a command-line tool for switching between Azure subscriptions and logging in to them.
It requires Azure CLI and subscription names in the Azure CLI config file to function.
It provides options to list all subscriptions, switch to a specific subscription, and handle non-interactive shells.
The project is licensed under the MIT License

Race Condition Exploit

This is a simple tool that helps find a race exploit in a web application.
It performs multiple queries to a web application concurrently and saves the results to a file.
The output is parsed, and the requests are saved in two files: desirable output and undesired output.
It can be built and run with specific command-line arguments, or used within a Docker container.
The project is licensed under the MIT License

Kafka Utility Example

Implemented a Kafka cluster facilitated by two utility REST APIs for communication.
Enabled cluster setup via an environment-variable-configured script and established concurrent Kafka Producers and Consumers to manage topic creation and message flow.
Integrated encryption and decryption functionality for secure message transfer through the Kafka cluster.