Dylan Stadler Email & Phone Number

Portland, Oregon, United States

Portland, Oregon, United States

• Launched sports commentary website built with Node.js and Express. Built custom realtime comment system from ground-up with Socket.IO and PostgreSQL database, implemented user account/session management with Passport.js, and hosted site on Salesforce Heroku platform• Completed the GTx Data Structures and Algorithm series and obtained professional certificate (average grade of 99.5%), Coursera's Deep Learning Specialization in March 2022, and Coursera's Machine Learning Specialization in May 2021• Implemented classification, regression, clustering, recommender engines, support vector machines (SVMs), convolutional neural networks (CNNs) including ResNet and MobileNet, recurrent neural networks (RNNs), natural language processing (NLP), transformers, attention, Bayesian, decision trees, random forests, gradient boosting, and other models in Python, TensorFlow, and scikit-learn• Utilized packages and tools including NumPy, Pandas, SciPy, Matplotlib, Seaborn, Qt, Docker, Jupyter• Published GitHub repositories for time series forecasting using LSTM in TensorFlow and ARIMA in R, neural style transfer with VGG19, image segmentation with U-Net, object detection with YOLO, transfer learning, exploratory data analysis, and image compression with k-means clustering (https://github.com/binarybrosef)

Portland, Oregon, United States

Continued technical consulting and patent application preparation as independent contractor.

Portland, Oregon Area

• Prepared and prosecuted design and utility patent applications for clients including Microsoft, Boeing, Nvidia, Ford, Nike, General Motors, Kawasaki, and Mazda; handled Microsoft Hololens, Surface, and Kinect portfolios• Successfully argued hundreds of rejections for novelty, patent eligibility, and statutory compliance with written responses, appeal briefs, and appeals to obtain issuance; managed early and late-stage prosecution• Wrote agenda illustrating the undue burden of applicants in demonstrating patent eligibility for computer-centric inventions, which made its way to the USPTO and motivated release of the Berkheimer Memorandum, producing wide-sweeping changes in patent examination • Contributed to the firm’s top ranking by Patent Bots in quality score for law firms in 2021 • Conducted infringement/competitive analysis and due diligence• Handled technologies including neural networks & machine learning, cloud computing, network security & encryption, virtualization, social networking, 3D rendering, additive manufacturing & 3D printing, facial recognition, voice recognition, wearable circuitry, touch-sensitive displays and capacitive touch sensing, force detection, gesture detection, holographic & 3D displays, virtual and augmented/mixed reality head-mounted displays, waveguides, microdisplays, CPU & GPU architecture, eye tracking & hand tracking, MEMS devices, biometrics, depth cameras, motion sensors, internal combustion engines, hybrid vehicles, turbochargers, batteries, et al.

Hillsboro, Oregon, United States

• Planned and executed pre-production server builds and upgrades• Validated and troubleshot hardware configurations; tested functionality among varying CPU, PCH, motherboard, and BIOS/BMC revisions; issued bugs and feedback to platform engineers• Supported labs and engineers with hardware builds, software installation, network troubleshooting, rack/rail/bench installations, and product RMAs• Installed operating systems, drivers, and firmware in Windows Server, Linux, MacOS, and virtualization environments• Tracked upgrades, systems, and pre-production components through work orders, inventory databases, and inventory control spreadsheets

Portland, Oregon, United States

• Observed stars and exoplanets with on-campus telescope • Performed first and only comprehensive analysis of noise in telescopic observations, including noise from environmental sources, digital camera components, telescopic filters, and stellar noise; employed noise analysis to optimize telescopic operation and improve SNR in stellar imagery by over a factor of two• Contributed data to the ongoing observation of the ternary star system 44 Boötis, analyzed possible magnetic activity cycle, and completed only thesis in graduating class of physics with departmental honors• Developed research projects and mentored high school student

• Facilitated interface between college staff/faculty and information technology by providing troubleshooting and support via phone and appointment• Performed virus/malware removal, hardware diagnosis and replacement, computer deployment campus-wide, and printer installations over network• Imaged machines with Norton Ghost, deployed updates, and utilized remote desktop in Windows and Mac OS

Master'S Degree, Computer Science

Pursuing MS Computer Science with machine learning specialization. Expected completion in 2026. Taking CS8803: GPU Hardware and Software..

Ba, Physics

BA Physics with departmental honors and focus on observational astronomy: utilized campus telescope to study binary stars and exoplanets.