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This summer I containerized CarbonCast end-to-end, added a simple API and an interactive map UI, and made it reliable enough to run for weeks—so people can actually use carbon intensity data to act.

A midpoint update on the ORB project

Shaping Brahma’s first release by building routing, documentation, and immersive WebXR example systems.

A midpoint update on the UCSC Open Source Research Experience (OSRE) project to build an API on top of CarbonCast, showcasing the enterprise-grade automation system and infrastructure built so far.

Mid-term update on Scenic-RoboSuite integration. Coding phase: Week 7. Status: Bidirectional communication complete, OSC control implemented, visual servoing behaviors working, preparing first prototype release

Deep dive into privacy metrics integration, performance optimizations, and UX enhancements in AIDRIN’s backend systems during my GSoC journey.

Midway Through OSRE My Journey with LLMSeqRec Hello from the Midpoint! Hi everyone! I’m Connor Lee, a student at NYU studying Computer Science and Mathematics, and I’m excited to share the progress I’ve made halfway through the Open Source Research Experience (OSRE) with my project: LLMSeqRec – a large language model-enhanced sequential recommender system.

A UCSC Open Source Research Experience (OSRE) project to build an API on top of CarbonCast, enabling individuals and organizations to access and act on real-time carbon intensity forecasts.

This post outlines my Google Summer of Code 2025 project with OSRE, focused on designing and building a web interface for an embedded software platform, which is used to monitor pollinizers like beed and hummingbirds viaiting flowers.

This blog marks the beginning of my GSoC 2025 journey, where I’ll be contributing to Brahma—an open-source WebXR framework.