🚀 Past Work
Motion2Recon: Motion-robust semi-supervised MRI reconstruction
Presented at ISMRM 2022 (London)
- Novel motion-robust MRI reconstruction through simulated motion artifacts
- Research conducted in collaboration with Stanford MRSRL during Caltech's SURF program
VORTEX: Physics-driven data augmentations using consistency training for robust accelerated MRI reconstruction
Presented at MIDL 2022 (Zürich)
- Physics-driven data augmentation, extension of Motion2Recon work at Stanford MRSRL
- This paper won the “Best Paper” award at MIDL 2022!
skinCAM 🔬
AI-powered skin disease identification (95% accuracy)
- Developed skin lesion classification system using TensorFlow + Google Cloud
- Filed a provisional patent (62/652,525) for unique diagnostic approach
Grabify 🌐
Smart IP logging for all
- Grabify allows users to create smart IP logging links, and has over 700,000+ monthly active users.
- Grabify links have over 350M+ uses to date!
🎓 Education & Experience
California Institute of Technology
September 2020 - June 2024Bachelor of Science, Computer Science (Machine Learning Track)GPA: 4.1/4.0
DoorDash 🏃♂️
September 2024 - PresentSoftware Engineer
- Building an experimentation platform in Kotlin that enables DoorDash engineers to run experiments and manage feature flags.
- Scaled the platform to process 75+ Trillion events monthly, supporting 40k+ experiments across platforms.
- Drove $5M+ in value and 2 FTE in engineering efficiency.
DoorDash 🏃♂️
June 2023 - September 2023Software Engineer Intern
- Developed a collaboration tool for engineers to discuss and track experiments across DoorDash's dev tools.
- Built a scalable backend using Kotlin, CockroachDB, and gRPC with real-time commenting and notifications.
DoorDash 🏃♂️
June 2022 - September 2022Software Engineer InternKPCB Engineering Fellow
- Developed a Kafka library (part of the Asgard suite) using Kotlin, Guice, and Resilience4j.
- Implemented producer instances with retry logic and circuit breaking for production use.
- Selected as one of 79 Kleiner Perkins Engineering Fellows.
Stanford University 🎯
June 2021 - August 2021ML Research Intern @ MRSRL
- Implemented Motion2Recon using PyTorch, numpy, and signal processing for MR reconstruction.
- Research presented at ISMRM 2022 (London) and MIDL 2022 (Zürich).