Jack Workman Email & Phone Number

Cupertino, California, Us

Cupertino, California, Us

Cupertino, California, Us

Santa Clara, California, Us

Berkeley, Ca, Us

Novel 3D Object Generation (W210 Data Science Capstone) - Realized a fully functional Variational Autoencoder deep learning solution to reconstruct and manipulate 3D objects via latent space. Trained final model on an augmented ModelNet10 dataset of 78,368 objects with a GPU for 4.2 days. Implemented a VAE-GAN with some success but limited by training instability and mode collapse.Song Lyric Mood Classification (W266 NLP with Deep Learning) - Developed a full data science pipeline with Python and TensorFlow to classify the mood of song lyrics using a CNN. Scraped 63,803 lyrics from the web, sourced labels from the Million Song Dataset, and generated word2vec embeddings. Achieved a classification accuracy of 77%; previous research with heavily feature engineered SVM models scored 50-70%.Powerlifter Clustering and Exercise Classification (W207 Applied Machine Learning) - Analyzed data from a proprietary powerlifting training tool containing over 100,000 exercises with over 200,000 repetitions. Clustered lifters based on personal attributes and lifting measurements with a Python Scikit-Learn KNN model. Trained a Random Forest model to classify an exercise as squat, lift, or bench press and achieved an accuracy of 94%.

Tempe, Az, Us

Undergraduate Thesis Project - Designed and implemented a full-stack dashboard solution (python & flask, SQL backend, JavaScript frontend) to deliver real-time metrics like occupancy and turnover for a local, prominent commercial real estate company. Graduation & Honors - Graduated from the Ira A. Fulton Schools of Engineering and Barrett, The Honors College as a Distinguished Graduate with Honors and a Bachelor's of Science in Computer Science in 3.5 semesters. Achieved Dean's List Honors every semester.Leadership - Served as Webmaster of the Fulton Ambassadors for 3 years and Co-President of the ASU Running Club for 2 years.

Santa Clara, California, Us

Received a Department Recognition Award for “outstanding efforts in establishing a methodology for analysis of GPGPU compute programs and creating a tool for improving simulation and analysis”.Created an HTML/CSS visualization for a custom C# GPGPU performance analysis tool that dynamically generated a conceptual view of our product's architecture and highlighted key bottlenecks and data points of interest. The tool was widely used for 3 years with minimal upkeep and was quite positively received. I became the sole owner of the tool during my internship and resumed ownership when I returned as a full-time employee. Learned and presented upon the Android Development Environment and Android's parallel compute library RenderScript with the purpose of ramping up fellow teammates on how to get started with Android. Team quickly and efficiently began work on RenderScript analysis as a result of my efforts.

Arlington, Va, Us

Worked on the software architecture team of an advanced aircraft flight system. Actively coded improvements for the OS in C and implemented several system modifications in Ada.Developed a test-tracking application to baseline and guide my team's efforts as we transitioned our code baseline from single to multi-core support. Application provided easily reviewable documentation and proof of testing. Reduced total testing time by roughly 20%.Created a complex Python/VBA automated solution to analyze a third-party's software deliverable for completeness. Saved an estimated 30 hours of work per each software drop.Upgraded the existing single-core mission processor to a multi-core architecture while working on a small Scrum-based team. Required knowledge of power management, hardware debugging, and embedded RTOS programming.Designed and implemented test cases in Java within a CMMI 5 environment that maximized code coverage to ensure 100% accuracy of requirements and code.

Santa Clara, California, Us

Served alongside the graphics program manager during the architectural definition phase of Intel's 2016 GPU. Assisted with issue tracking and data management while gaining first-hand experience in large-scale program management.Successfully migrated all content and data of 20 plus teams from SharePoint 2007 to SharePoint 2010 with zero lost data, and then continued to oversee the management of the SharePoint collection until end of internship. Involved frequent communication and planning with team leaders to execute a migration plan with minimal interruption to employees. Revamped an analytical modeling tool's Excel VBA data processing and display module. Required quickly learning and understanding the design and purpose of the tool as well as closely interacting with the tool's team to identify the module's requirements. Purpose of tool was to display data used in presentations of silicon progress.

Masters Of Information And Data Science, Data Science

Computer Science

High School Diploma