Mid-Level Full-Stack Engineer specializing in cloud-native e-commerce and AI/ML systems
Dearborn, MIMachine Learning Research Assistant3 years experienceMid-LevelTechnologyE-commerceRetail
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About
Full-stack engineer with strong ownership in fast-moving environments: designed and shipped a pre-order/campaign inventory system (NestJS + Strapi + Datadog) that freed 34% warehouse space and reduced stock risk to ~5.7%. Also built rapid, high-impact logistics features (Spot Sales) that drove last-mile cost to ~0 in ~40 days, and has hands-on AWS/Terraform/CI-CD experience including deploying a global RAG system with Pinecone, Datadog, and PagerDuty.
Experience
Machine Learning Research AssistantUniversity of Michigan
Senior Software EngineerMakro Pro
Software Engineer IRetailo Technologies Pvt. Ltd
Angular DeveloperHungry EPOS
Education
University of Marylandmaster, Cloud Engineering (2026)
University of the Punjabbachelor, Electrical Engineering (2021)
Key Strengths
Owned and shipped inventory pre-order/campaign system end-to-end in 2.5 weeks (DB schema, NestJS backend, Strapi integration, monitoring)
Delivered measurable ops impact: +34% warehouse space and stock risk reduced to ~5.7% within 2 months
Strong production operations mindset: added logging/monitoring and daily Datadog query monitoring; PagerDuty alerting
High-ambiguity execution: shipped 'Spot Sales' feature in 4 days with minimal requirements; reduced last-mile cost to ~0 in ~40 days