Joseph S. Email & Phone Number

Menlo Park, Ca, Us

Software Engineer for the Meta Verified Core Foundations Team in the New Monetization Experiences Engineering organization.

Durham, North Carolina, Us

Head UTA (Data Science), UTA (Database Systems)• Employed the Otter Autograder library to build autograders for exams and homework which interface with the Gradescope grade management system.• Assisted in writing and testing exams to assess students' knowledge of data science concepts and best practices, such as linear/logistic regression, KNN, and relying on standard libraries (numpy, Pandas) for scalable computations.• Held office hours, assisted in lectures by answering student questions, and graded weekly assignments/exams

Durham, North Carolina, Us

• Was selected as RA of the Year (West Campus) out of 100+ resident assistants for programming excellence and community building for 2023 - 2024 and Rookie of the Year (best overall performer) out of 100+ first-year resident assistants for 2021 - 2022. • Served as a student leader with real-world responsibilities, including budgeting, organizing, and moving to approve 3 dorm-wide events per month.• Conducted nightly rounds 2-3 times per night and responded to building and resident emergencies. Assisted in dorm operations such as fire drills, move-in/move-out, and orientation.• Addressed and moderated resident concerns with, HRL staff and other residents. Represented building(s) staff on the leadership council to advocate for staff needs and communicate problems on the ground level.

• Implemented a machine-learning pipeline in Python to preprocess largely uncleaned ICU data, do time-series-based feature engineering, concurrently execute and log hyperparameter tuning with the Slurm Workload Manager and Weights and Biases (WandB), and train/test machine learning models.• Wrote extraction scripts in PostgreSQL and BigQuerySQL to extract raw EHR data for the pipeline to preprocess and utilize. Conferred with researchers at MIT regarding design decisions.• Contributed to Professor Cynthia Rudin's Interpretability Lab’s ongoing research into using state-of-the-art interpretable machine learning models (FasterRisk, FastSparse, GOSDT) to predict patient mortality; wrote and edited paper sections (pending submission to data-science journals).

• Wrote PHP and SQL code for a bespoke content management system (CMS) for an internal information app.• Realized responsive user interfaces by translating designer mockups to code using HTML, CSS, Bootstrap, JavaScript, and Twig, ensuring seamless rendering across various devices and platforms and meeting aesthetic and functional specifications.• Authored comprehensive documentation outlining the structure, features, and extension points of the CMS, enabling other developers to build upon the existing codebase.

• Consulted with clients to understand their requirements and design preferences.• Developed front-end and back-end code for websites, ensuring alignment with client specifications.• Conducted thorough testing to verify the accuracy and efficiency of code implementation.• Performed routine maintenance and security updates to ensure optimal site performance.

Bachelor'S Degree, B.S. Computer Science And Music

High School Program