I'm a student at Carnegie Mellon University (SCS) pursuing a B.S. in Artificial Intelligence & Computer Science. I focus on Deep Learning and Agentic AI, building intelligent, high-performance systems at scale.
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- Shopify: Machine Learning Engineer Intern, built buyer-fraud detection system with VertexAI + BigQuery/Dataflow, cut training iteration time 70%, and authored patent for Neo4j agentic AI framework.
- Carnegie Mellon Physics Lab: CUDA Research Assistant, co-authoring paper on binning-based KNN algorithm achieving up to 200x speedup; developed PyTorch C++/CUDA extensions for faster training.
Favorite Projects (More Here)
- Haven: CalHacks 12.0 1st Place (YC & Fetch.AI Tracks) & Best Startup Award (600+ teams). Multi-agent hospital intelligence platform coordinating agents for autonomous patient monitoring, CV-based vital tracking (FPPG), and real-time clinical decision support with 3d visualizations. Repo
- Medicly: HackCMU 2025 Grand Prize (1/200+). Multimodal AI pipeline (pose estimation, 3D mesh, LLM reports) reducing PT evaluation from 14 days → 10 minutes. Repo
- Yumi: HackHarvard 3rd Place (3/150+). Agentic social network solving group dining with AI-powered taste profiles, multi-user preference merging, and personalized restaurant discovery. Repo
- Healthier: Nova Hacks 2nd in Healthcare. Making senior care accessible and affordable. Custom trained YOLOv8 model with on-device inference, AI-powered food and exercise analysis (pose-estimation), and live updates on a 3d clinician dashboard. Repo