Enterprise Tech (2025-present)
Initiated and led first WIT SF Hackathon ('Gen AI in the Enterprise Model Platform'). Vetted and implemented integrations to our internal CMS and DAM systems to advance our marketing imperatives (Node, Typescript, OpenSearch, SNS, SQS, Lambda, APIs, CDN, Figma, Workfront, et al).
The Lab (2022-2025)
•2025 - Researched data feasibility and developed POCs for an internal data product (Snowflake, internal & external APIs, and MongoDB) before the Enterprise Lab was disbanded in early 2025.
•2024 - SRE Lead for the Lab, and expanded my skillset by working cross-functionally as a Product Owner, while doing engineering feasibility and proof-of-concept work for various problems with ML-based solutions.
•2022-2023 Staff augmentation for enterprise platforms. For example, development in Python, Django, Postgres, Google Apps for an internal labeling platform, an experimental mobile feature (programmed in Swift for iOS), and engineering support for various lab explorations and projects. Led a summer internship group project (dashboard that used S3, Opensearch, Lambda, SQL, and was integrated into an existing React UI).
Retail Bank (2018-2021)
Worked for the retail bank to create and update software for a team that worked across multiple applications in multiple languages to bring products to market. The work included implementing changes in full-stack applications, APIs, Serverless Lambdas, and writing a lot of tests. (Python, Java, Node/Javascript, SQL, HTML, some Angular). 100% cloud-based environment, using a CI/CD pipeline to deploy code. Passed the AWS Associate Architect Certification exam, and have been working in AWS daily for several years using services like CloudFormation, VPCs, ECS (Docker), EC2, RDS, Lambda, Step Functions, DynamoDB, Kinesis, CloudWatch, SNS, et al.