Jivesh – React, Python, AWS

It's a premier Canadian-American technical athletic apparel retailer.

• Improved PDP performance by refactoring redundant renders and optimizing GraphQL data fetching.
• Built reusable, accessible component libraries for multi-team use.
• Strengthened test coverage with comprehensive Jest suites and complex mocks.
• Tightened TypeScript safety and reviewed dependency upgrades to prevent breaking changes.
• Delivered high-visibility retail features for millions of users with zero production incidents.
• Built performant UI features with Next.js, React, and TypeScript using SSR/SSG strategies.
• Raised code quality through detailed reviews, performance tuning, and cross-functional collaboration.

It's a clinical decision support system that leverages AI and machine learning to give dental practices a distinct competitive advantage. 

• Led full-stack development of the PMS web application across React, TypeScript, and FastAPI.
• Built and stabilized AI-powered clinical review workflows, including risk scoring, clinician override, and end-to-end data flow.
• Managed SQLAlchemy, Alembic, and PostgreSQL schema changes, preventing production drift and migration failures.
• Owned Docker and Azure DevOps CI/CD pipelines, enabling reliable builds and deployments to Azure Container Apps.
• Integrated AI-generated dental risk assessments into structured clinical and billing workflows.
• Established branching, hotfix, and release workflows for a small high-velocity team.
• Collaborated with the CTO on architecture, sprint priorities, and technical roadmap.

It's a software platform that transforms disconnected earth science data into a structured, intelligent foundation.

• Developed performant React and Next.js visualization tools for large geological datasets and environmental reporting.
• Collaborated with geological scientists to translate complex data models into precise UI specifications.
• Applied list virtualization, memoization, React Server Components, and ISR caching for responsive data-heavy views.
• Resolved critical stale data issues by recalibrating ISR TTLs to match geological data update frequency.
• Optimized render performance and reduced bundle sizes using code-splitting and client/server boundary strategies.
• Served as a communication bridge between scientists and engineers, reducing the requirement for misinterpretation.
• Delivered high-accuracy features where data integrity directly impacted environmental decision-making.

It's a Universal Music Group’s royalty‑statement portal, where UMG artists, songwriters, and rights holders can log in to view, analyze, and download their detailed royalty statements and earnings reports online.

• Led development of a Next.js + GraphQL platform for UMG artist royalties, storefronts, and profiles.
• Architected a zero-fork multi-brand theming system using design tokens for independent artist visual identities.
• Built Figma-to-code token pipeline to sync design system with production code and eliminate drift.
• Designed resilient GraphQL integration with Node.js resolvers, timeouts, and partial failure handling across services.
• Managed Apollo client-side GraphQL with query optimization, fragments, and multi-service error recovery.
• Coordinated team sprints, code reviews, and delivery as tech lead for high-profile global artist platform.
• Shipped a scalable production platform enabling new artist onboarding without engineering changes.