Refresh
San Francisco, CA / 2026
AI Contractor
- Designed programming and spatial reasoning tasks for training frontier AI models.
- Created human interface coding tasks to evaluate real-world development capability.
- Contributed to open-source benchmark terminal-bench.
- Built and tested evaluation harnesses and sandboxed testing environments at large scale.
Amazon
Sunnyvale, CA / 2022 - 2024
Software Developer, L4 (Devices)
- Ported Android applications to proprietary devices across custom hardware and software stacks.
- Led low-level debugging across device platforms, including graphics, OS services, and IPC.
- Built and improved CI/CD pipelines for firmware and application releases.
- Collaborated with hardware, OS, and app teams to enforce platform standards.
- Drove root cause analysis for complex system failures.
Performance Star
Santa Clara, CA / 2022
AI Researcher
- Developed human-interpretable analyses of black-box ML models.
- Applied explainability techniques including feature attribution and surrogate modeling.
- Implemented explanation methods across input statistics, feature space, and model approximations.
- Developed a frontend interface for configuring and visualizing model explanations.
Lyft
San Francisco, CA / 2021
Data Scientist (Lyft Bikes and Scooters)
- Built revenue forecasting pipelines using Airflow, Presto, and Prophet.
- Developed dashboards tracking cost, efficiency, and revenue KPIs.
- Designed scalable data models and ETL pipelines from product and finance requirements.
- Debugged and optimized pipelines supporting multimillion-dollar revenue streams.
- A/B tested large system changes targeted at increasing overall revenue.
WhatsBusy
Austin, TX / 2020 - 2021
Backend Data Science Internship
- Used Django and PostgreSQL to create POS data ingestion and analysis services.
- Created REST APIs in Django to build insight dashboards for stakeholders.