Newton, MA
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.
2024 — 2025
Kenilworth, New Jersey, United States
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.
New Haven, Connecticut, United States
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.
2022 — 2023
New York City Metropolitan Area
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.
2019 — 2022
Stratford, Connecticut, United States
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.
Education
2016 — 2018
Southern Connecticut State University
Bachelor's degree
2016 — 2018
2014 — 2016
CT State Norwalk
Associate's degree
2014 — 2016