Andres Restrepo

andresar47@gmail.com | LinkedIn | PDF Resume

• Developed features and resolved bugs across a full-stack microservices environment using TypeScript and React on the frontend, .NET on the backend, and SNMP for software-defined radio hardware interactions.
• Engineered a Java application integrating gRPC clients and Kafka-subscribed services to bridge communication between disjoint legacy systems owned by two separate teams.
• Built automated Kubernetes cluster provisioning pipelines for on-premise LAN environments, leveraging Ansible playbooks, Bash scripting, K3s, and MetalLB for bare-metal load balancing.
• Led a team of 4 Software Engineering interns to automate the deployment and configuration of 15+ microservices using Ansible, Bash, Python, and Docker Compose.

• Designed and implemented a C++, P/Invoke, and .NET backend message exchange library adopted as a core component across 10+ microservices spanning 2 distinct projects.
• Prototyped a React micro frontend using Webpack Module Federation, which evolved into a reusable core application adopted and extended by 2 independent teams.
• Owned and maintained CI/CD pipelines spanning code hosting, build automation, and artifact packaging across a diverse toolchain including Bamboo, Bitbucket, Docker, JFrog, Maven, npm, Webpack, and .NET.
• Delivered client-facing microservices demonstrations via Docker Compose that drove the acquisition of 3 contracts, translating technical capabilities into tangible business outcomes.

• Authored finite state machine routines in a proprietary C++ domain-specific language to automate life expectancy testing of medical devices and their subassemblies.
• Engineered Python-based numerical methods to process raw sensor signals and convert outputs into meaningful engineering units.

• Led virtual tutoring sessions for senior-level mathematics courses, leveraging LaTeX to produce professional-grade solution presentations for exams and proposed class problems.

• Major: Mathematics; Minor: Computer Science; Honors: Cum Laude.
• Relevant Coursework: Computer Graphics, Data Structures and Algorithms, Discrete Mathematics, Machine Learning, Numerical Analysis, Probability and Statistics.

• Exploring agentic AI-assisted development workflows, advocating for clean object-oriented design, mentoring early-career engineers, and building self-hosted scalable web infrastructure.