# Gabriel Matute

> Software Engineer at Databricks

Location: Berkeley, California, United States
Profile: https://flows.cv/gabrielmatute

Engineer with years of experience creating and researching developer tools!

## Work Experience
### Software Engineer @ Databricks
Jan 2024 – Present | San Francisco, California, United States

### Lead Researcher, Interactive Syntactic Search @ University of California, Berkeley
Jan 2022 – Jan 2024 | Berkeley, California, United States
- Created a new algorithm to perform accurate syntactic search with partial code fragments, implemented a tool prototype using TreeSitter in Rust to search over JavaScript files.
- Developed a new benchmark to empirically compare against the state-of-the-art Semgrep, demonstrating novel support for partial queries and keeping ~90% recall on previous queries.
- Coordinated project priorities and tasks with key stakeholders across 3 organizations.

### Research Intern @ Apple
Jan 2022 – Jan 2022 | Seattle, Washington, United States
- Designed a new IDE user experience to support interactive syntactic code search queries, implemented an internal Python prototype, and then integrated it into the Swift codebase.
- Prototyped in Swift a (now shipped) feature to Xcode to reorder code completions based on a Python ML ranking service that relies on an n-gram model with type-annotated tokens.

### Lead Researcher, Automatic Software Upgrades @ University of California, Berkeley
Jan 2021 – Jan 2022 | Berkeley, California, United States
- Designed and implemented a tool in OCaml to type-check rewrite patterns for a C++ subset
and to synthesize semantic-aware rewrites, enabling type-based API migrations.
- Implemented a compiler in OCaml to simplify refinement types into regular algebraic types.

### Researcher, Developer Tooling for MLOps @ University of California, Berkeley
Jan 2020 – Jan 2021 | Berkeley, California, United States
- Adapted the GumTree syntax-aware diffing algorithm to Python to extend FLOR to allow developers to compare metrics across historical versions of model training pipelines.

### Software Engineer Intern, C++ Core Libraries @ Google
Jan 2020 – Jan 2020 | New York, New York, United States
- Designed and developed a source code inliner on a refactoring framework based on ClangMR to automate API migrations using separate stages for maintainability and extensibility.

### Instructional Aide, EECS 490 @ University of Michigan
Jan 2019 – Jan 2020 | Ann Arbor, Michigan, United States
Programming Languages
- Lead discussion with 30+ enrolled students, host weekly office hours.
- Developed integration to export Learn-OCaml grades and submissions into Gradescope.

### Software Engineer Intern, BMC Firmware @ Google
Jan 2019 – Jan 2019 | Sunnyvale, California, United States
- Designed and developed a package using Autotools and Protobuffers to expose .rrd files
over the IPMI blobs interface, providing the foundation for a C++ wrapper for librrd.

### Instructional Aide, EECS 493 @ University of Michigan
Jan 2019 – Jan 2019 | Ann Arbor, Michigan, United States
User Interface Development (UI Dev)
- Lead discussion with 30+ enrolled students, host weekly office hours, created course content.
- Upgraded the submission and hand-grading infrastructure to use the department auto-grader.

### Lab Coordinator & IA, EECS 280 @ University of Michigan
Jan 2017 – Jan 2018 | Ann Arbor, Michigan, United States
Programming and Intro Data Structures
- Lead discussion with 30+ enrolled students, host weekly office hours, created course content.
- Managed 10+ graders to create rubrics and score ~1000 submissions per assignment.

### Engineering Practicum Intern, Publisher Ad Tags @ Google
Jan 2018 – Jan 2018 | Cambridge, Massachusetts, United States
- Developed an npm package in TypeScript that extends Lighthouse (Chrome DevTools Audits)
to give feedback on ad loading and user experience for a widely-used ad tagging library.
- Prototyped internal Express.js service to automatically collect diagnostics to track the metrics over time and gain insights about the ad landscape through a curated list of publishers.

### Engineering Practicum Intern, Ad Forecasting @ Google
Jan 2017 – Jan 2017 | Chicago, Illinois, United States
- Developed an internal dashboard using Python and SQL in a Google Colaboratory notebook to visualize and analyze discrepancies between the pipeline forecasts and the ground truth.


## Education
### Master of Science - MS in Programming Languages
University of California, Berkeley
Jan 2020 – Jan 2024

### Bachelor of Science - BS in Computer Science
University of Michigan
Jan 2016 – Jan 2020


## Contact & Social
- LinkedIn: https://linkedin.com/in/gabomatute
- Website: https://about.gmatute.dev

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Source: https://flows.cv/gabrielmatute
JSON Resume: https://flows.cv/gabrielmatute/resume.json
Last updated: 2026-03-22