Hello!

As a Software Engineer at Databricks, I develop the cloud storage and credentials infrastructure powering enterprise data platforms globally. I built an automated multi-cloud blob storage provisioning system managing 1,000,000+ buckets and 500+ TB of customer data across 100k+ users, and designed a scalable cloud credential management system enabling secure cross-region, cross-cloud data access for 10,000+ enterprise workspaces. Through comprehensive monitoring and rigorous change management, we've achieved 99.9999% service uptime.

As a Graduate Student Researcher in the Berkeley Speech Group, my Master's research focused on Differentiable Digital Signal Processing for articulatory synthesis—teaching computers to model how human vocal tracts produce speech. I developed a novel real-time ML model requiring only 0.4M parameters (vs. 9M baseline), improving Word Error Rate by 1.63% (to 6.67%) and Mean Opinion Score by 0.16 (to 3.74) while achieving 4.9x inference speedup on CPU.

As a Software Engineer Intern at SpaceX, I designed and implemented critical test infrastructure for satellite hardware torque and energy margin verification. I developed a spectral analysis system using Short-Time Fourier Transform (STFT) to detect reaction wheel bearing faults before they became flight risks, reducing test time by 10x.

As an SDE Intern at AWS, I worked on AWS Marketplace, architecting and implementing full-stack tooling to automate ML product private offer creation. I built RESTful APIs with database integration and established a robust CI/CD pipeline with automated testing.

As a Research Intern, I led the design and construction of a custom 4-antenna array system for tracking Lincoln Experimental Satellites (LES). By developing and optimizing a Blind Adaptive Beamforming algorithm, I improved signal-to-noise ratio by 30%.

As an Engineering Intern, I worked on optical systems for DNA sequencing instruments. I developed instrument control software in Python that automated optical system calibration and alignment, and built a data processing pipeline integrating multiple sensors and hardware interfaces.

As a Software Research Assistant at Lawrence Berkeley National Laboratory, I developed an automated testing framework in Python/MATLAB that reduced experiment runtime by 90% for nitrogen-vacancy center research in diamond for nuclear magnetic resonance experiments.

A tool that scrapes senate.gov to visualize voting patterns and party loyalty, making congressional voting records more transparent and accessible. Built with Beautiful Soup, Python, and jQuery/JavaScript.

At COSMOS UCSD, I designed a walking robot from scratch with an insectoid design—circuit design, Raspberry Pi code with Adafruit PWM drivers, and 3D printed chassis. In the final time-based race, our robot beat competitors by 50%.