Migrated critical ML infrastructure to dedicated AWS segmented accounts using Terraform IaC, improving system isolation by 40% and maintaining 99%+ uptime across dev/staging/production environments.

Optimized cloud resource utilization by 30% - Implemented shared preprocessing architecture reducing DPU consumption by 30%, achieving $50K+ annual cost savings.

Built scalable ETL pipelines processing terabytes of Snowflake data to S3 using PySpark and AWS Glue, creating unified feature stores for time-series forecasting models.

Designed event-driven workflows with SNS/SQS messaging, replacing monolithic structures with modular, fault-tolerant architecture and implementing automated data quality monitoring.

Collaborated with data science teams to productionize research models (NPTS, MQCNN, WaveNet), translating experimental code into production ML pipelines with comprehensive documentation.

Implemented comprehensive data quality monitoring with automated alerting for forecast anomalies, SKU drops >1%, and week-over-week variance exceeding 10% thresholds.

Implemented S3 lifecycle management and Glacier archiving policies, automatically transitioning data >90 days old and reducing storage costs by 60-80%.

Optimized large-scale data processing using AWS Glue and PySpark, implementing broadcast join optimizations and dynamic resource scaling to eliminate memory errors in multi-GB dataset operations.

Designed and developed software to automate the scheduling of customer orders, significantly reducing order dwell while maintaining an on-time delivery rate of >90%.

Managed containerized applications using Docker, Kubernetes & Helm in a CI / CD deployment process.

Operated in a Kanban environment investigating, tech spec’ing and implementing solutions to allow our supply chain operations to expand internationally.

Leveraged event-driven architecture (Kafka) to build cross-functional features that enhanced scheduling automation.

Designed and built REST APIs for order and delivery scheduling.

Developed an in-house, warehouse facing application using React and Redux.

Built a REST API for that warehouse facing application using Symphony and PHP.

Enhanced the deploy process of the team by separating the front end and API from a single monolith repository into a decoupled application.

Assessed usage and performance of the application in warehouse and assembled feedback into actionable information to improve the application.

Implemented full authorization and authentication using Auth0 to secure both a client side application and API

Built a normalized database designed to house a diverse range of multiple media content

Designed and built an in-house facing admin panel

Executed and coordinated badging events for Berklee

Managed student records resulting in maximized office efficiency

Consulted students on how to resolve BPS involved issues