• Contribute to the design and development of scalable backend services using C#/.NET, supporting AI-powered cloud applications and internal automation pipelines.

• Integrating enterprise AV system tooling and MCP Servers for platforms like—like Crestron, Zoom and Samsung —to enable smart device interoperability and enhanced AI data ingestion.

• Help drive the connection between AV hardware and LENA, our proprietary AI platform, enabling real-time system insights and event-driven automation through custom integrations. Using tools like LangChain, Opik to help develop, maintain and optimize LLM Applications.

• Collaborating with teams across engineering, product, and compliance to deliver solutions that meet strict technical and regulatory standards.

• Writing clean, maintainable, and testable code with a strong emphasis on peer reviews, reusable patterns, and scalable architecture.

• Develop and maintain AV control systems for classrooms, conference rooms, auditoriums, and multipurpose spaces using Q-SYS (Q-SYS Designer, Lua), Crestron (SIMPL Windows, VTPro-E, SIMPL+, C#), and Extron (Global Configurator, GUI Designer, Python).

• Deliver scalable, maintainable solutions and resolve complex issues across both new installations and retrofits. Support commissioning of programming solutions onsite and remotely.

• Led initiatives to standardize naming conventions for proprietary programming libraries using AI, RAG, ChatGPT, OpenAI API, and Flowise; facilitated team adoption and built automation tools to streamline AV workflows and improve development efficiency.

• Founding Software Engineer of new Inspect V2 Platform, using tools such as HTMX, CSS, ArcGIS and JavaScript on the Frontend and Python, Django and PostgresSQL on the Backend.

• Designed and implemented CI/CD Pipelines for development, staging and production deployments of Inspect V2 using Github Actions, Docker, AWS ECR, AWS Secrets, AWS ACM, OpenSSL, AWS EC2 (for self-hosted runners), and AWS Elastic Beanstalk for efficient deployments, and increased visibility over Software Development Lifecycle.

• Developed, tested and deployed Frontend of new Edge Control Mobile Web Application within a week using React, TypeScript and CSS.

• Built and maintained real-time data ingestion pipelines consuming multiple concurrent sports statistical data APIs; processing thousands of events per day and forwarding live feeds to fantasy game interfaces, fixture pages, and highlight reels.

• Designed GraphQL integrations to pull live game stats, player headshots, and video highlights, serving real-time data to over 150k daily active users with low-latency delivery across frontend surfaces.

• Engineered client-facing data pipelines to distribute user retention analytics and widgets to partner dashboards, translating raw event data into actionable business intelligence.

• Deployed and managed backend infrastructure on AWS (EC2, S3, CloudFront) with Terraform, supporting scalable, high-availability data processing with automated CI/CD pipelines via GitLab.

• Built TypeScript and React frontends tightly coupled to live data feeds, rendering real-time stats, video clips, and game data for high-engagement sports audiences.

• Led the implementation of code and UX/UI for new projects and features in enterprise software products.

• Developed application interfaces for Newsroom Systems (MOS Protocol, iNEWS), including a successful rebuild of an iNEWS interface to address critical bugs and enhance customer satisfaction, leading to increased sales revenue.

• Innovatively created a Voice-Activated Teleprompting application interface, boosting customer awareness and product placement, resulting in higher sales revenue.