Coordinated and led the migration of the various Fire TV ad offerings (in total four different ad/creative types and their various sub-types across three different program offerings) from older internal server management to native AWS infrastructure as part of a company-wide effort for easier management, deployment, and scaling, becoming the core Subject Matter Expert (SME) for creative management cross-team within Fire TV.
In collaboration with other Fire TV teams, wrote core functionality for saving, validating, previewing, rendering, and migrating creative/ad types, designed common packages to duplicated effort or code drift both across ad types and within different scripts for the same ad type, coordinated End-to-End (E2E) and User Acceptance Testing (UAT) for each ad type for UI functionality, moderation, migration validation, and delivery/reporting.
Drafted and reviewed design documents, project trackers, and operational readiness reviews for the various ad type migrations and future launches, along with coordinating intermediate and final migration dial-ups for launches in collaboration with Product and other Engineering teams.
Implemented fully Continuous Integration/Continuous Deployment functionality for all owned Fire TV creative pipelines, and implemented similar functionality cross-services within the Fire TV organization.
Aided in development and release of a FireTV “Self-Service” feature that near-fully automates the entire advertising campaign workflow, ensuring operation excellence with deployment of essential integration testing infrastructure of Native AWS APIs and React UIs.
Expanded multiple Fire TV ad product offerings to ten additional marketplaces throughout North America, Europe, and Australia, working full-stack, to include React user interfaces, device and metrics testing, backend AWS REST APIs, and billing workflows.
Optionally trained in and served as an internal app security certifier, reviewing internal applications that are deemed “Red” due to data sensitivity or vicinity to end users through design, architecture, and threat assessment review, configuration reviews, automated and manual security code reviews, and basic penetration testing, after which drafting various documentation of all known risks with severity and coordinating with the app owner to correct the mistakes to avoid any security issues.
Trained as an internal interviewer, shadowing or reverse shadowing various candidates for the Fire TV organization.
Completed trainings for Amazon Web Services (AWS) and actively worked with various AWS services such as Lambda, SQS/SNS, EC2, CloudWatch, and CloudFormation,
Under Professor Ruzena Bacjsy with Principal Investigator Dr. Laura Hallock, now Professor at UU:
Applied Python, Pillow, Numpy, Scipy, and SimpleElastix/SimpleITK libraries to manipulate and perform registration transforms and optimizations on 3D ultrasound scans to segment muscles and orientate and align said scans for assistive technology, and implemented various optimization techniques to include memoization, dynamic programming, and parallelization.
For a year post-graduation, developed multiprocessing software infrastructure and ran introductory trials with external biomedical imaging sensors such as ultrasound, EMG, and Acoustic Myography (AMG) to allow for real-time signal processing for force approximation with visual feedback for subjects to target desired force outputs in control systems.
Under Principal Investigator Dr. Myriam Lapierre, now Professor at UW:
Parsed and phonologically analyzed raw audio and spectra of field data of the endangered language Panará with Praat software without any prior knowledge or exposure to said language in order to analyze the nasality and airflow patterns of speaker, and later manipulated and wrote various scripts for data processing for the end goal of generating a trained model of the language in order to allow for easier speech parsing and analysis
