• Worked on ML pipelines for a sales recommendation engine utilizing Python/R, Spark and SQL running on Databricks - for top global food and beverage company.

• 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.

• Contributed to the deployment of over 200 microservices following a service-oriented architecture, used for enterprise integration across various internal and external data providers - for large oil and gas corporation.

• 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.

• Microservices development using Python / Flask / AWS for large US telecom company.

• Worked on 4 highly scalable/reliable RESTful API’s in C# with over 1 million new users per year and seasonal fluctuations in web traffic averaging 8 million visits per month.

• 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.