# Matthew O. > Software Engineer at Clay Location: San Francisco, California, United States Profile: https://flows.cv/matthewo ## Work Experience ### Software Engineer @ Clay Jan 2026 – Present | San Francisco, CA Integrations @ Clay ### Software Engineer @ Anyscale Jan 2024 – Jan 2026 | San Francisco, CA Worked on building Ray Data (https://docs.ray.io/en/latest/data/data.html): • Improved batch inference scalability, performance, and cost. Designed and implemented the download expression API (https://www.anyscale.com/blog/ray-data-scalable-data-processing-for-ai-workloads#reducing-block-size-explosion-with-download-expression) to efficiently load data from URIs, added large file chunking for JSONL and Parquet files (providing 2x speedup, 6x reduction in cost https://www.anyscale.com/blog/announcing-anyscale-runtime-powered-by-ray#image-batch-inference), and improved actor pool scaling to support 1000s of actors. More multimodal inference benchmarking here https://www.anyscale.com/blog/ray-data-daft-benchmarking-multimodal-ai-workloads. • Led Ray Data’s contribution to the cross-team Ray Data Dashboard initiative, partnering with the Observability team to design and implement detailed runtime metrics, dataset metadata export APIs, and per-operator performance breakdowns improving data pipeline visibility and reducing debugging time for customers. Product release blog here https://www.anyscale.com/blog/ray-train-data-dashboard. • Designed and implemented the Issue Detection Framework (https://github.com/ray-project/ray/tree/master/python/ray/data/_internal/issue_detection), enabling proactive detection and alerting of performance regressions. This is foundational for future observability features and is now integrated into the Ray Data Dashboard. • Standardized the Anyscale Jobs (https://docs.anyscale.com/platform/jobs/manage-jobs) and Job Schedules (https://docs.anyscale.com/platform/jobs/schedules) SDKs / CLI, adding new project / cloud support, and consistent API semantics. • Collaborated across teams and with enterprise customers, served as release manager for multiple patch releases, and provided on-call and summit support. ### Software Engineer @ Applied Intuition Jan 2023 – Jan 2023 ### Software Engineer @ Datavant Jan 2020 – Jan 2022 | San Francisco, California, United States • Designed and implemented the internal Remediation Engine. This system allows for the further remediation of healthcare data previously loaded into a Snowflake data warehouse through the use of Snowflake external functions. The external function was connected with an AWS API Gateway to an auto-scaling deidentification service hosted on a Kubernetes cluster. • On-boarded new data source to the Mortality Data product. Added Python typing to existing code and used Python Abstract Base Classes to make a more polymorphic and extensible system. Product revenue grew to $2m ARR with more than half of users receiving the new source. • Created initial infrastructure for new Routing service to fulfill requests for patient charts. Established Azure Kubernetes cluster, Flask server, PostgreSQL database, connections to PySpark, etc. Infrastructure managed with infrastructure as code tools including Terraform and Kubernetes manifests. • Assisted in Datavant Match algorithm development by testing various pre-tokenization transformations of first and last names. Extended the Match application (Java) to compute patient record matches using demographic patient data. • Developed and standardized a debugging interview question. Extended the existing Python question to have both Java and Javascript version. Interviewed 150+ candidates using this and other questions. • Member of the Diversity, Equity, and Inclusion Council and the Culture Committee to provide feedback to the executive team. ### Summer Sessions Instructor @ UC Berkeley College of Engineering Jan 2020 – Jan 2020 | Berkeley, California, United States Served as a co-instructor for Data Structures class (CS 61BL). Hired, managed, and led a team of 27 staff members. Developed and ran the first ever fully online version of the course. Responsible for giving weekly lectures, holding office hours, creating new quizzes / exams, and updating / modifying 24 labs and 4 projects. ### Head Undergraduate Student Instructor @ UC Berkeley College of Engineering Jan 2019 – Jan 2020 | Berkeley, California, United States Led teams regarding academic dishonesty / plagiarism detection, project development, and lab development. Weekly responsibilities included teaching students in discussion, lab, and office hours. Worked along other Head TAs to hire, manage, and lead a team of 50-80 staff members (varies semester to semester). Other responsibilities included content creation, grading, and holding review sessions. ### Software Engineer Intern @ Datavant Jan 2019 – Jan 2019 | San Francisco, California, United States Worked as a full stack developer to create an internal Customer Source of Truth to synchronize information across the company. Technologies used included Flask, Jinja, Javascript, jQuery, SQLAlchemy, and AWS Elastic Beanstalk. ### Head Undergraduate Student Instructor @ UC Berkeley College of Engineering Jan 2019 – Jan 2019 | Berkeley, California, United States Led teams regarding academic dishonesty / plagiarism detection, project development, and lab development. Weekly responsibilities included teaching students in discussion, lab, and office hours. Worked along other Head TAs to hire, manage, and lead a team of 50-80 staff members (varies semester to semester). Other responsibilities included content creation, grading, and holding review sessions. Awarded the UC Berkeley Outstanding GSI Award for the 2018-2019 school year. ### Undergraduate Student Instructor @ UC Berkeley College of Engineering Jan 2018 – Jan 2018 | Berkeley, CA Teaching Assistant for Data Structures Class (CS61B/CS61BL). Weekly responsibilities include teaching discussion sections, leading lab sections, and offering two hours of office hours. Other tasks include content creation / modification, grading, review sessions, plagiarism detection / prevention, and tutor management. ### Tutor for CS61B (Data Structures) @ UC Berkeley College of Engineering Jan 2017 – Jan 2017 | San Francisco Bay Area ### National Space Club Scholars Intern @ NASA Goddard Space Flight Center Jan 2015 – Jan 2015 | Goddard, Maryland Rewrote FPGA code (both VHDL and Verilog) for use in the LCRD (Laser Communication Relay Demonstration) optical communication satellite. Implemented MARS (Median Analog Result Selection) algorithm to mitigate effects of solar radiation. ## Education ### Bachelor of Science (BS) in Electrical Engineering and Computer Science UC Berkeley College of Engineering Jan 2016 – Jan 2020 ### Glenelg High School Jan 2012 – Jan 2016 ## Contact & Social - LinkedIn: https://linkedin.com/in/omatthew98 --- Source: https://flows.cv/matthewo JSON Resume: https://flows.cv/matthewo/resume.json Last updated: 2026-03-20