● Re-architected Shopify e-commerce backend into modular Golang microservices, separating catalog, pricing, and order orchestration domains, optimizing relational schemas and indexed joins to reduce checkout latency from 900 ms to 250 ms across 500K+ SKUs during peak campaign traffic.

● Designed concurrent, event-driven service workflows using asynchronous processing and idempotent request handling to maintain checkout stability during large-scale athlete merchandise launches, serving high-volume promotional traffic.

● Developed a Python-based ranking engine leveraging athlete and university metadata with weighted scoring logic and offline evaluation, increasing average order value by 10% during promotional rollouts.

● Implemented embedding-driven product discovery and semantic classification pipelines using vector indexing and metadata filtering, improving internal search accuracy and reducing manual tagging effort by 35%.

● Integrated LLM-assisted content validation workflows supporting merchandising review and campaign publishing decisions, reducing manual QA effort and accelerating high-volume release cycles.

● Introduced centralized observability using structured logging, distributed tracing, and CloudWatch monitoring, reducing

production issue resolution time by 30% and improve cross-service visibility.

● Led backend service boundary redesign, enabling independent deployments across commerce domains, reducing cross-service regression impact during releases.

● Developed Node.js REST APIs managing ingestion, indexing, and role-based access workflows for enterprise document repositories supporting compliance-controlled analyst search across large document collections.

● Designed distributed preprocessing pipelines performing document chunking, metadata extraction, and embedding generation using asynchronous Python workers, enabling scalable semantic retrieval.

● Implemented retrieval-augmented workflows integrating LLM APIs, vector similarity search, and reranking logic to replace legacy keyword search systems, improving response relevance by 35% during evaluation benchmarks.

● Built React interfaces presenting AI-generated responses with citation metadata and source traceability, increasing adoption among analyst teams and reducing manual research effort.

● Containerized backend and AI services using Docker and integrated CI/CD pipelines enabling repeatable deployments across staging and QA environments.

● Introduced automated API and integration testing using Jest, reducing regression defects by 25% across sprint cycles

● Developed Node.js backend services supporting subscription billing, workout scheduling, and personalization workflows for a mobile fitness platform exceeding 1M downloads.

● Refactored monolithic Express architecture into modular service boundaries separating billing, content delivery, and personalization domains, improving throughput and reducing production defects.

● Implemented personalization APIs, storing behavioral preferences, enabling targeted workout and nutrition content delivery aligned to subscription tiers.

● Developed React workflows supporting onboarding and content discovery, improving engagement across paid subscription plans.

● Increased backend and UI test coverage from near zero to 50% using Jest and Mocha, significantly reducing recurring production incidents.

● Delivered Django and MySQL reporting applications supporting operational dashboards within Agile Jira delivery cycles.