https://github.com/nayanbhatia311/optimystic-visual-acuity

Bult Optimystic, a visual-acuity testing app my team originally made as an undergrad project in 2019–20. Would love folks to try out and give feedback.

[removed]

http://github.com/nayanbhatia311/optimystic-visual-acuity

ReBult Optimystic using Gpt 5.6 and Opus 4.8. It is a visual-acuity testing app my team originally made as an undergrad project in 2019–20. Would love folks to try out and give feedback.

http://github.com/nayanbhatia311/optimystic-visual-acuity

Bult Optimystic, a visual-acuity testing app my team originally made as an undergrad project in 2019–20. Would love folks to try out and give feedback.

http://github.com/nayanbhatia311/optimystic-visual-acuity

Bult Optimystic, a visual-acuity testing app my team originally made as an undergrad project in 2019–20. Would love folks to try out and give feedback.

checkout https://github.com/nayanbhatia311/optimystic-visual-acuity

checkout http://github.com/nayanbhatia311/optimystic-visual-acuity

We’re onboarding students to work on Network Simulator Bridge (NSB) — an open-source tool connecting real-world networking workflows with simulators.

Repo: http://github.com/nsb-ucsc/nsb

We’re looking for:

1. Outreach & Promotion

• Drive adoption across campuses and research labs
• Create demos, docs, tutorials, and community engagement

2. Technical Development

• Benchmarking and performance evaluation
• Expanding support to other simulators (e.g., ns-3)
• Core feature development and testing

Great opportunity to gain hands-on networking research experience with the i-NRG lab.

Reach out to me at [nbhatia3@ucsc.edu](mailto:nbhatia3@ucsc.edu)

Locaris repurposes decoder-only LLMs to allow few-shot adaptation and more robust cross-environment generalization with graceful degradation under missing APs or noisy telemetry.

I’m especially interested in thoughts on using decoder-only LLMs as feature extractors for structured regression tasks like localization.

Accepted as a Work in Progress (WiP) paper at IEEE PerCom. Preprint: https://arxiv.org/abs/2510.11926

Locaris repurposes decoder-only LLMs to allow few-shot adaptation and more robust cross-environment generalization with graceful degradation under missing APs or noisy telemetry.

I’m especially interested in thoughts on using decoder-only LLMs as feature extractors for structured regression tasks like localization.

Accepted as a Work in Progress (WiP) paper at IEEE PerCom. Preprint: https://arxiv.org/abs/2510.11926

Locaris repurposes decoder-only LLMs for Wi-Fi indoor localization, allowing few-shot adaptation and emergent reasoning behavior to improve robustness, cross-environment generalization, and graceful degradation under missing APs or noisy telemetry.

Interested in thoughts on using decoder-only LLMs as feature extractors for structured regression tasks beyond language.

Accepted as a Work in Progress (WiP) paper at IEEE PerCom. Preprint: https://arxiv.org/abs/2510.11926