Kevin Lopez

Lead R&D Software Engineer (Infrastructure & Frameworks)

• Platform Modernization: Redesigned legacy IoT modules into high-performance Java SDKs built with Gradle; adopted by 95% of new production systems and established the company’s first GitHub-based CI/CD workflow.
• Frontend Framework: Built a modular Node.js/CSS UI SDK that standardizes the layout, dynamic styling, and JS components for DOM state handling across 100% of deployed client web applications.
• In-Memory Cache & State Sync: Solved critical JVM crashes caused by unbounded database read/write cycles by engineering an asynchronous Java caching layer with object persistence, reducing CPU overhead, improving real-time latency, and preventing scale-induced bottlenecks.
• Automated View Migration: Built a recursive tree-traversal service to automate the identification and migration of UI components, reducing manual configuration time from days to minutes and ensuring 100% interoperability during version upgrades.
• Batch State Mutation: Architected an asynchronous, recursive system allowing for regex-based pattern matching across strongly typed entities to perform batch state changes across 2,000+ distributed endpoints.

Software Engineer (Digital Simulation & Edge Computing)

• Edge Devices: Engineered fault-tolerant and event-driven algorithms in Python and C/C++ to process real-time I/O on resource-constrained edge devices, ensuring offline local automation and online platform synchronization.
• Backend Platform: Architected vendor-agnostic Java platforms to normalize disparate edge telemetry (including Samsung Ecosystems) into a unified schema. Engineered the core backend logic and complex state management to interface with hardware over TCP/IP and UDP.
• Digital Twin Visualization: Designed and developed interactive Digital Twin web interfaces in JavaScript and HTML5 to virtualize physical edge devices and visualize real-time telemetry via HTTP/HTTPS.
• Full-Lifecycle Product Delivery: Led the full SDLC for 10-15 concurrent projects, translating concepts, constraints, and requirements into production software systems with 100+ unique nodes.

• Served as an invited panel Judge for GSU's CS Demo Day, evaluating student software engineering projects and technical presentations.

• This certification demonstrates expertise in developing custom Java modules, components, and API integrations for the Niagara 4 framework. Proves specialized knowledge in IoT protocols, platforms, and software solutions.

• Performed LED panel choreography during the Super Bowl halftime show alongside Maroon 5, Travis Scott, and Big Boy.

Societies:

• Association for Computing Machinery (ACM)

Specialties:

• Internet of Things, AI/ML, Game Development

Relevant course work: Software Development & Engineering, Embedded Systems, Robotics, Artificial Intelligence, Machine Learning, Game Design and Development, Computer Networks, Operating Systems, Algorithm Design, Calculus I, II, III, Physics I, II

• Selected as a tenor saxophonist as part of a small group to perform a private set for T-Mobile Executives and VIPs on the 2018 Unstoppable Tour.

• Traveled to New Orleans as a core member of the GSU Athletic Band to perform live at Lakefront Arena for the Sun Belt Conference Basketball Tournaments.

• Cast as an extra to perform on-screen as a tenor saxophonist in the movie Love, Simon.

• Traveled to New Orleans as a core member of the GSU Athletic Band to perform live at Lakefront Arena for the Sun Belt Conference Basketball Tournaments.

• Volunteered as a tenor saxophonist as part of the GSU Athletic Bands in the 2016 CHOA Parade to bring awareness and support Children's Healthcare of Atlanta.

• Performed live at Universal CityWalk during the AutoNation Cure Bowl as part of the official team's pep rally and battle of the bands showcase against the rival team.

• Performed live in New York City as part of a selected band during the 88th Annual Macy's Thanksgiving Day Parade.

• Nominated and hand-selected to perform at Clayton State's Spivey Hall as part of an elite Jazz Ensemble under the guidance of Dr. Gordon Vernick.