Varun Sethi
Full-Stack Developer | React, Next.js, Node.js & Python
Manufacturing Quality & Operations Platform
I designed and developed the frontend for a production-grade manufacturing quality and operations platform used within a multibillion-dollar global consumer goods enterprise. The application brings quality workflows, production reporting, SKU management, plant-level analytics, and role-based operations into a single platform.
I worked across the Next.js application architecture, UI/UX implementation, API integrations, authentication, state management, reporting workflows, and reusable component system.
Key areas
- Operations & Reporting: Adoption, SKU Plant Summary, Plan vs Actual, PCP Tracker, PCRO and CRQS reports
- Quality Workflows: Product/SKU management, barcode scanning, product -verification and multi-step SKU creation
- LQA Operations: Pending SKU workflows, employee/site selection, product details, barcode capture and validation
- Shift Supervisor: Employee selection and role-specific workflows
- Analytics: KPI cards, donut/bar charts, trends, filters and deep-dive analytics
- Admin: Site management, user profile, role-based access and protected routes
- Reusable UI: Tables, charts, cards, modals, forms, tabs, filters, dropdowns and navigation components
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I designed and built Distill IQ, a full-stack retail pricing intelligence platform for a US-based liquor business. The application processes and presents large-scale pricing data through interactive product surveys, competitor comparison analytics, raw data exploration, and user/access management. I worked across the React frontend, Python backend, APIs, BigQuery data layer, business logic, and UI components to build the platform from the ground up.
Key features:
Pricing Survey: 5,200+ SKUs, 110+ brands, search and advanced filtering
Competitor Analytics: Compare products across markets with average, median, mode, price ranges, and price gaps
Market Analytics: Interactive price distribution, historical trends, and competitor comparison
Raw Data Explorer: BigQuery-backed data exploration with filtering, pagination, and export
User Management: User accounts, roles, permissions, market access, and catalog management
Reusable UI: Tables, filters, cards, charts, forms, and responsive components
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Hi, I designed and developed Quality Station, a web application for managing and analysing manufacturing quality checks. The product brings together quality dashboards, product management, inspection sessions, AI-based analysis, defect detection, user management, and activity tracking into a single interface.
The UI was designed in Figma and implemented as a functional React/Next.js application, with a reusable component system, responsive layouts, interactive charts, data tables, filters, modals, forms, and multi-step workflows.
Key areas I worked on include:
- Analytics dashboards and quality monitoring
- AI performance and defect analysis
- Quality sessions with product/barcode verification
- Weight, barcode, and OCR analysis
- Live image and analysis views
- Product management and configurations
- User roles and access management
- Activity tracking
- Reusable tables, charts, forms, filters, and UI components
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AI Data Assistant Inside Tableau
I built an AI-powered chatbot for Tableau that allows users to interact with their existing dashboards and data through natural-language questions.
Instead of manually navigating through multiple Tableau workbooks to find a specific metric or insight, users can ask the assistant what they need and receive relevant information from the available Tableau data and dashboards.
The solution adds a conversational AI layer directly to the existing BI workflow, helping users explore their data and find the right dashboard or report without changing how their Tableau environment is structured.
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