# Drake Lin

> SWE @ Databricks

Location: San Francisco, California, United States
Profile: https://flows.cv/drakelin

Masters graduate with a broad range of skills in computer science, electrical engineering, and mechanical engineering.

## Work Experience
### Software Engineer @ Databricks
Jan 2023 – Present | San Francisco, CA
Delta Kernel Rust (2025 – Present)
Core contributor to the open-source Rust implementation of the Delta Lake storage engine.
- Designed and implemented core read/write optimizations, reducing query latency by up to 2.5x and unblocking multiple downstream engine integrations
- Overhauled table feature representation and protocol validation, improving extensibility and correctness
- Investigated and resolved subtle correctness bugs spanning serialization, memory layout, and cross-engine compatibility

Managed Storage (2023-2025)
Built cloud storage infrastructure powering Databricks' multi-tenant platform across AWS, Azure, and GCP.
- Delivered scalability improvements enabling 100k+ customers with sub-200ms latency and 100% uptime at peak
- Redesigned core reconciliation system, reducing database transactions by 55x and lock acquisition time by 35x
- Led full-scale load testing at 150k+ buckets, identifying and resolving database bottlenecks that restored P95 latency from 2,000ms to 400ms
- Rearchitected bucket provisioning and lifecycle management, achieving ~10x latency improvement and eliminating multi-hour rollout delays

### Graduate Student Researcher @ Berkeley Artificial Intelligence Research
Jan 2022 – Jan 2024 | Berkeley, California, United States
- Master's research in Berkeley Speech Group, focusing in Differentiable Digital Signal Processing
- Developed a novel real-time data efficient machine learning model for articulatory synthesis
- Engineered a streamlined architecture requiring only 0.4M parameters (vs. 9M baseline) while improving Word Error Rate by 1.63% (to 6.67%) and Mean Opinion Score by 0.16 (to 3.74)
- Achieved 4.9x inference speedup on CPU compared to State Of The Art models while maintaining speech quality, enabling real-time applications

### Software Engineer Intern @ SpaceX
Jan 2022 – Jan 2022 | Hawthorne, California, United States
- Designed and implemented a critical test infrastructure for satellite hardware torque and energy margin verification, mitigating flight risks and reducing test time by 10x.
- Developed a spectral analysis system leveraging Short-Time Fourier Transform (STFT) to detect and characterize reaction wheel bearing faults.
- Created a comprehensive test automation suite for flight component qualification, integrating hardware control interfaces and data acquisition systems.

### SDE Intern @ Amazon Web Services (AWS)
Jan 2021 – Jan 2021
- Architected and implemented full-stack tooling to automate ML product private offer creation in AWS Marketplace, reducing manual engineering effort from hours to minutes
- Built RESTful APIs and implemented database integration for offer management system
- Established robust CI/CD pipeline with automated integration testing, significantly improving development tool reliability

### Research Intern @ MIT Lincoln Laboratory
Jan 2021 – Jan 2021 | Los Angeles, California, United States
- Led the design and construction of a custom 4-antenna array system for tracking Lincoln Experimental Satellites (LES), achieving successful signal capture at 230 MHz from multiple satellites
- Developed and optimized a Blind Adaptive Beamforming algorithm to isolate and identify satellite signals amid complex co-channel interference, improving signal-to-noise ratio by 30%.
- Implemented end-to-end integration testing by using phase shifters and RF components to simulate antenna array geometry, and capturing and processing data using GNURadio, Python, and MATLAB.

### Engineering Intern @ Ultima Genomics
Jan 2020 – Jan 2021 | Newark, California, United States
- Developed instrument control software in Python for automated optical system calibration and alignment
- Built data processing pipeline integrating multiple sensors and hardware interfaces using Python, MATLAB, and ACS
- Implemented real-time monitoring system for laser performance metrics with automated alert triggers, from component design to part manufacturing to software implementation

### Software Research Assistant @ Berkeley Lab
Jan 2019 – Jan 2021 | Berkeley. California
- Developed automated testing framework in Python/MATLAB for quantum research, reducing experiment runtime by 90%
- Built hardware control system integrating multiple scientific instruments (lasers, waveform generators, sensors)
- Created data processing pipeline for experimental results, reducing analysis time by 70% through automation


## Education
### Master of Science - MS in Electrical Engineering and Computer Science
University of California, Berkeley

### Bachelor's degree in Electrical Engineering and Computer Science
University of California, Berkeley

### Mission San Jose High School


## Contact & Social
- LinkedIn: https://linkedin.com/in/drake-lin
- Website: https://drakelin.com

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Source: https://flows.cv/drakelin
JSON Resume: https://flows.cv/drakelin/resume.json
Last updated: 2026-04-05