Deployed MVP using supply chain sales and inventory datasets to identify potential new shipment opportunities. Worked on E2E ML pipeline from feature generation to model training/serving/monitoring with experiments tracked in MLFlow. Improved NNS within target group by $10,000 over 1 month.

Proposed and designed vehicle routing solution specific to business needs using randomized optimization algorithm and Google Maps API distance matrices.

Collaborated with cross-functional teams to analyze business requirements, create scalable/reliable/secure design, support testing cycles, conduct deployments, and monitor/triage production issues.

Conducted POCs to validate effectiveness and suitability for any new tooling. Code review.

Worked with authorization/authentication, api throttling, cache invalidation, media encoding, shared dlls, and automated deployment.

Involvement with AWS services including ECS (Docker), API Gateway, Cognito, Lambda, DynamoDB, RDS (MySQL), Elasticache (Redis), S3, CodePipeline, KMS, CloudFormation, CloudFront, and CloudWatch.

Contributed to front-end Angular codebase. Created modules and services for file upload control, user information popup, and forgot password. Components are reactive and meet ADA compliance.