Building agentic AI infrastructure for voice, healthcare, and human-agent interaction.
ASR · LLM · TTS pipeline deployed to ~200K smart devices.
Capability-centric routing, agent memory, multi-LLM orchestration.
Multi-agent intervention for academic procrastination.
Yale MPH in Health Policy with an applied-math background — focused on AI systems and healthcare AI.
Currently building production voice AI and agentic infrastructure for smart devices and enterprise AI applications.
Long-term threads: agentic AI, human-agent interaction, healthcare AI, voice AI, and AI systems in production.
Five projects that capture the range — from production infrastructure to HCI research.
Unified capability layer for agentic AI — multi-model orchestration, agent memory, MCP-native runtime.
Production ASR–LLM–TTS pipeline with edge-cloud co-inference. Rust + WebSocket, ~200K wearables in the field.
Multi-agent intervention for academic procrastination — Big Five persona, social norms, and responsibility pressure.
Clinical knowledge–augmented framework. RAG over medical literature for clinical-report analysis.
Vision–language alignment for medical imaging — chest X-ray analysis and radiology reasoning.
Ongoing threads, working papers, and research notes.
Multi-agent behavioral intervention, procrastination, social influence.
Clinical reasoning, biomedical NLP, RAG over medical knowledge.
Biomedical vision-language models, multimodal content analysis.
LoRA / PEFT / prompt tuning, adapter-based fine-tuning.
Notes on agentic AI systems, voice AI for hardware, healthcare AI, and AI in production.
First posts coming soon.
Full résumé as PDF — quick contact below.