Top 10 AI dev on GitHub. Featured in WIRED & ~40+ publications, twice. Freshman obsessed with building & shipping: Writing Tools (2K+ GitHub stars); Sentient Screenshots (on-device ambient AI, applying to a16z & YC S26).
Sentient Screenshots — A private, on-device intelligence layer for your entire digital life. A custom-quantized Vision LLM analyzes your screenshots, files, and bookmarks entirely on-device; organizing everything into interconnected knowledge graphs, giving you ambient intelligence with proactive suggestions, and letting you talk to your data in natural language ("haven't i met someone working on X?" "what's that wine i liked?"). No images ever leave your device. Won $3,000 at the UMass Tech Challenge; applying to YC S26.
Writing Tools — A system-wide AI writing assistant that outperforms Apple Intelligence and Grammarly. 2,000+ GitHub stars. 30,000+ users. Featured in 28+ major tech publications. Leading a team of 8 contributors including senior engineers.
Bliss AI — A fine-tuned Gemini-powered STEM tutoring app for students in local curricula. 20,000+ questions answered. Nominated in the Google Gemini API Developer Competition.
a 2-min Reel showcasing some of the crazy stuff below!
- Got iPadOS running on an iPhone with external monitor support — covered by WIRED & 39+ publications
- First to extract system prompts from ChatGPT Advanced Voice Mode, Microsoft Copilot, Sarvam AI, GitHub Copilot, Dia Browser, etc.
- First to investigate Apple's 2025 neural accelerators embedded in GPU cores
- Built a Hackintosh on a Dell XPS by reverse-engineering macOS internals
- Got Minecraft running on a smartwatch
- Been jailbreaking iOS and compiling custom Android ROMs since I was 8
- 🌐 Global Top 10 AI Developer on GitHub in October 2024
- 📰 Featured TWICE in ~40+ tech publications (Writing Tools; iPadOS on iPhone hack) and in WIRED!
- 🎓 Taking graduate-level Reinforcement Learning as a freshman
- 🧑💻 Leading 8 volunteer contributors (incl. senior engineers) on Writing Tools
LLM Quantization & Reasoning — First comprehensive study on how quantization affects different types of critical thinking in LLMs. 5,000+ evaluation runs; preparing for publication.
ML Research with Dr. Hannah Rana, Harvard — Bayesian Optimization for cryocooler parameter prediction using Oxford experimental data. Co-authoring paper for the Journal of Cryogenics.
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I'm always down to talk about LLMs, agentic AI, product design, or the oddly specific art of compressing a multimodal LLM without crushing its eyes.