01 / Yuvraj Raulji · AI, Business and eCommerce

I build with technology. I think in business.

Exploring AI, digital commerce and technology systems that help modern businesses operate, sell and grow.

Yuvraj Raulji explores AI, eCommerce and digital transformation, with a focus on intelligent systems, digital commerce, automation and the technology decisions that create measurable business value. The work runs across storefronts, mobile app APIs, B2B systems and the operations behind them.

Yuvraj Raulji
Vadodara · IndiaYuvraj RauljiCommerce · Technology · AI
02The position

More than code. Technology should move the business forward.

I build digital commerce systems from the technology layer up: engineering, architecture, performance, customer experience and growth, treated as one system rather than five projects.

Technology is valuable when it creates leverage: better decisions, stronger customer experiences, faster operations and sustainable growth. Not because it is possible, and not because it is new.

9+
Years in technology
90%
Of B2B order and quote processing automated
500K+
SKUs across 12+ multi-store Magento 2 platforms
1M+
Monthly users on platforms under architecture
Yuvraj RauljiSince 2016 · 9+ years

I don’t sell platforms. I make decisions, about architecture, about catalogue, about where the business actually loses money, and then I build the system that holds those decisions.

Role
eCommerce and technology architect
Focus
Magento 2 · Headless · AI systems
Based
Vadodara, Gujarat · IST
  • COMMERCE
  • TECHNOLOGY
  • AI
  • GROWTH
03What I build

Four systems, not four services.

They overlap on purpose: a commerce decision is an architecture decision before it is a platform decision, and an AI decision is a process decision before it is a model decision.

01

Commerce systems

The platform is rarely the problem. It is where the problem becomes visible, usually as a catalogue, a checkout, or an architecture that has outgrown the decision behind it.

Magento 2ShopifyWooCommerceHeadless
02

Digital architecture

Frontends over REST and GraphQL, caching that holds under traffic, and infrastructure sized to the order book rather than to the pitch deck.

Next.jsGraphQLAWSVarnish · Redis
03

Growth systems

A beautiful store means nothing if the customer journey is broken. Search, speed and checkout are the growth levers people keep looking past.

Technical SEOCROPerformanceGA4
04

AI systems

Where language models stop being a demo and start being infrastructure: grounded in real data, scoped to real tasks, checked by a person before anything consequential happens.

AI agentsRAGMCPAutomation
04Selected work

Real work. Real systems.

Six builds, and the decision inside each one. The interesting part of every one of these was the choice made before the code.

  • Headless fashion storefront case study cover01Fashion · D2C

    Headless fashion storefront

    A fast-growing fashion brand whose storefront had to keep getting faster while the catalogue and traffic behind it kept moving.

    Role
    Architecture + delivery
    Stack
    Magento 2 · Next.js · Varnish
    View case study
  • Online plant store case study cover02Horticulture · D2C

    Online plant store

    An online plant store selling a product that is fragile, seasonal and hard to photograph, to customers who abandon at any friction in the buy.

    Role
    Commerce build
    Stack
    Shopify · CRO
    View case study
  • Sports nutrition store case study cover03Health & fitness

    Sports nutrition store

    Sports nutrition is a category where authenticity is the purchase decision and delivery speed is the repeat one. The storefront has to carry both.

    Role
    Platform + growth
    Stack
    Magento 2 · SEO
    View case study
  • Procurement and approvals platform case study cover04B2B procurement

    Procurement and approvals platform

    B2B buying is not a cart. It is a request, a quote, an approval chain and a budget holder, and a consumer checkout models none of that.

    Role
    Systems architecture
    Stack
    Magento 2 · Workflows · API
    View case study
  • Multi-category marketplace case study cover05Marketplace

    Multi-category marketplace

    A wide multi-category catalogue, which is the point at which catalogue size stops being a number and starts being an architecture problem.

    Role
    Architecture direction
    Stack
    Magento 2 multi-store · Redis
    View case study
  • Engineering manufacturer platform case study cover06Manufacturing

    Engineering manufacturer platform

    An engineering manufacturer whose buyers research for months and never fill in a form, on a site that search could not read.

    Role
    Technical SEO + build
    Stack
    WordPress · Schema · GA4
    View case study
View all work
05Featured case study

FASHION D2C

Headless commerce
Fashion D2C storefront storefront

Challenge

A fast-growing fashion brand whose storefront had to keep getting faster while the catalogue and the traffic behind it kept moving.

Architecture

A decoupled storefront over the commerce API, with caching pushed to the edge of every layer that could hold it.

My role

Architecture direction and delivery: platform decisions, performance strategy and the engineering behind them.

Performance

Varnish, Redis, full-page cache and database tuning, the same stack that cut page load times by 60% on high-traffic B2B commerce.

Outcome

A storefront that scales with the catalogue instead of against it. Detailed metrics on request rather than on a marketing page.

Technology

Magento 2Next.jsReactGraphQLRedisVarnishCloud
06Expertise

Where technology meets commerce.

Not a logo grid. An architecture, read left to right, the way a request travels through it.

01Commerce layer
  • Magento 2
  • Shopify Plus
  • WooCommerce
  • Headless storefronts
02Experience layer
  • Next.js
  • React
  • GraphQL
  • AI search
03Platform layer
  • Node.js
  • PHP
  • MySQL
  • Redis
  • Varnish
04Growth and intelligence
  • AWS
  • Cloudflare
  • GA4 and analytics
  • Technical SEO
  • AI and automation
07AI

The next commerce system is intelligent.

AI Search changes the discovery layer of commerce. Instead of matching a query to a keyword, the system interprets intent and returns products, categories or guidance based on what the customer is trying to accomplish. The rest of the value is unglamorous: retrieval that returns the right passage, evaluation you can trust, and grounding that stops a fluent answer from being a confident wrong one.

01
AI agents
Bounded work against real systems, with the tool boundary drawn on purpose.
02
LLM apps
Past the benchmark table: context, instruction following, cost at volume.
03
RAG
Retrieval that returns the right passage, and grounding you can audit.
04
Automation
The parts of an operation that absorb people who should be doing something else.
05
AI search
Discovery when the query is a sentence and the answer is a recommendation.
06
GEO
Being the answer a model recommends, not only the result that ranks.
07
Content systems
Catalogue enrichment that survives human review.
08
Business intelligence
Decisions carried by data instead of by the loudest opinion in the room.
08Direct answers

Short answers, before the pitch.

The four definitions that decide most first conversations, written plainly enough to quote.

  • 01

    What does Yuvraj Raulji work on?

    AI, eCommerce and digital transformation. Practical work across Magento, Shopify, WooCommerce and headless commerce, the APIs behind mobile apps, cloud and performance architecture, AI search and automation.

  • 02

    What is AI commerce?

    AI commerce uses artificial intelligence across product discovery, search, recommendations, catalogue enrichment, customer support and purchasing workflows to create more relevant digital shopping experiences.

  • 03

    What is headless commerce?

    Headless commerce separates the customer-facing frontend from the commerce backend through APIs, so a business can build a custom experience while keeping the underlying commerce platform.

  • 04

    What is GEO?

    Generative Engine Optimization focuses on making information clear, authoritative and structurally understandable, so AI-powered search and answer systems can accurately interpret and reference a brand or topic.

09The evolution

From code to company.

Eight shifts, each one forced by a problem the previous way of working could not hold. The technology changed roughly every three years. What it was for did not.

Full experience ↗
  1. 2010–2016
    Gujarat, India

    Formal study in information technology

    Diploma, then degree

    Six years of formal education in two stages: a three-year diploma in information technology from 2010 to 2013, then a three-year degree from 2013 to 2016. The point at which this stopped being a hobby and started being a discipline.

    • 2010 to 2013, diploma in information technology
    • 2013 to 2016, degree in information technology
    • The fundamentals that still decide architecture: data modelling, networking, systems
    DiplomaDegreeInformation technology
  2. 2016–2025
    Vadodara, India

    Independent practice

    Own clients, alongside the employed roles

    Started taking my own clients in Vadodara and never stopped. The engagements ran in parallel with the full-time roles below, which is why the dates overlap.

    • Magento 2 full-stack and headless commerce for B2B, B2C, D2C and marketplace brands
    • Engagement-platform and multi-currency gateway work
    • Incorporated as a private limited company in 2025
    Magento 2HeadlessIndependent
  3. 2016–2018
    Vadodara, India

    Magento Developer, then Sr. Magento Developer

    Commerce agency

    Two years building Magento stores and modules professionally. Magento is the platform that turns a catalogue into an architecture problem, and that reframing shaped everything after it.

    • Custom module and extension development on Magento
    • Store builds and platform customisation for client brands
    • Promoted to Sr. Magento Developer within the first year
    MagentoPHPModule development
  4. 2018
    Vadodara, India

    Software Engineer

    Digital agency

    Shopify development for global personal-care brands: fully customised storefronts with JavaScript enhancements, third-party tools and custom features.

    • Built and customised Shopify storefronts with advanced functionality and responsive design
    • Integrated third-party apps, payment gateways and APIs to automate workflows
    • Custom JavaScript for interactive features and dynamic product displays
    • Optimised store performance, page load times and UX workflows
    • First exposure to Salesforce Commerce Cloud and to Magento 2 multi-platform architecture
    ShopifyJavaScriptSFCC, beginnerIntegrations
  5. 2018–2021
    Ahmedabad, India

    Sr. Magento 2 Full Stack Developer

    Commerce agency, Gulf retail

    Nearly three years building scalable, high-performance commerce for leading Saudi Arabian retail groups, across grocery, commercial kitchen equipment and fashion.

    • Full-stack Magento 2: custom modules, extensions, frontend and backend
    • Mobile app API development, and headless over REST and GraphQL
    • Custom payment gateway integration with localised payment and shipping methods
    • Multi-vendor and multi-store setups, with ERP and POS integration
    • Advanced filtering, layered navigation, dynamic pricing and custom checkout flows
    • Loyalty programmes, discount engines and customer dashboards
    • Performance and speed optimisation for high-traffic stores
    Magento 2ElasticsearchGraphQLB2B and B2CSaudi market
  6. 2020–2022
    India, remote

    Sr. Magento Developer, B2B systems and performance

    B2B commerce platform

    B2B procurement is not a cart. It is a request, a quote, an approval chain and a budget holder. I built the systems that model that, and the infrastructure to hold them.

    • Five-level approval workflows with role-based permissions
    • B2B order and quote management, with 90% of processing automated
    • Approval cycle times reduced by 40%
    • AWS architecture on EC2, RDS and auto-scaling, with Varnish, Redis and full-page cache
    • Page load times cut by 60% on high-traffic B2B commerce
    Magento 2AWSRedis and VarnishWorkflowsAPIs
  7. 2023–now
    India, remote

    Team Lead, architecture and delivery

    B2B commerce platform

    The work stopped being code and became process: architecture guidance, code review and mentorship across a platform estate rather than a single store.

    • Architecture direction across 12+ multi-store Magento 2 platforms
    • 500K+ SKUs and 1M+ monthly users under architecture
    • Structured workflows and review cut development cycle time by 30%
    • Mentorship and technical documentation for team onboarding
    ArchitectureTeam leadershipCode reviewMulti-store
  8. Now
    Vadodara, remote

    AI in the operating layer

    Consulting

    Where the work is now: agents with a deliberate tool boundary, retrieval grounded in a real catalogue, AI search, and automation pointed at the processes that absorb people who should be doing something else.

    • AI agents, retrieval and automation grounded in real business data
    • AI search and GEO, for discovery beyond the ranked result
    • Fractional CTO engagements and architecture direction
    • Evaluated before rollout, and reviewed by a person wherever the output reaches a customer or a ledger
    AI systemsAutomationFractional CTOCloud
“Technology should not make business more complicated. It should make growth easier.”
Yuvraj RauljiYuvraj Raulji
10Insights

Things I’m thinking about.

All writing →
11Writing & profiles

Follow the journey.

Long-form technical writing, build notes and platform opinions, published where the conversation already happens.

Yuvraj Raulji
Yuvraj RauljiWrites about commerce architecture, performance and AI
12Questions

What people ask before a first call.

Ten answers, in the words I would use on the call itself.

  • 01

    What does Yuvraj Raulji specialize in?

    AI, eCommerce and digital transformation. The practical work spans commerce platforms, the APIs behind mobile apps, performance and cloud architecture, and AI systems such as agents, retrieval and automation.

  • 02

    What kind of AI work does Yuvraj Raulji explore?

    LLM applications, agents with a deliberate tool boundary, retrieval augmented generation, MCP-based integrations, AI search, catalogue enrichment and process automation, with evaluation and human review around anything consequential.

  • 03

    Which eCommerce platforms does Yuvraj Raulji work with?

    Magento 2 and Adobe Commerce, Shopify and Shopify Plus, WooCommerce on WordPress, and headless storefronts built over REST and GraphQL APIs.

  • 04

    How is AI changing eCommerce?

    Four layers move first: discovery, where search interprets intent instead of matching keywords; merchandising, where recommendations use behaviour and catalogue context; catalogue operations, where enrichment is drafted by a model and reviewed by a person; and support, where grounded answers resolve order and product questions.

  • 05

    What is AI search?

    AI search interprets intent rather than matching keywords. A full sentence, such as a gift request under a budget for a specific occasion, can return products, categories or guidance, because the query is read as a goal instead of a string.

  • 06

    When should a business consider AI automation?

    When the process is repetitive and already documented, the data behind it is reliable, the cost of a mistake is measurable, and a person can review the output. Automating an undefined process only makes the confusion faster.

  • 07

    What is the difference between Shopify and Magento?

    Shopify is hosted and favours speed of launch and operational simplicity, which suits D2C brands with a focused catalogue. Magento 2 and Adobe Commerce are open architectures that carry complex catalogues, multi-store setups, B2B pricing and approval rules, at the cost of more engineering ownership.

  • 08

    How does Yuvraj Raulji approach digital transformation?

    Understand the business, map the process, choose technology against that process, build it, then measure. The technology decision comes fourth, not first.

  • 09

    What does a 30-minute consultation cover?

    The constraint you are actually hitting, the architecture or platform decision behind it, what AI should and should not touch in your operation, and the next practical step.

  • 10

    How can someone work with Yuvraj Raulji?

    Start a conversation by email at [email protected], or book a 30-minute consultation. Replies usually arrive within 24 hours on IST business days.

Question not answered here?Start a conversation →
13Consultation

Book 30 minutes. Leave with a decision.

Thirty minutes on your constraint, not on my slides. Bring a commerce, architecture or AI problem and we will name the decision behind it, what AI should and should not touch in your operation, and the next practical step.

01
eCommerce platforms
Magento 2, Shopify Plus, headless: B2B, B2C, D2C and marketplace.
02
Mobile apps
App architecture and the commerce APIs behind it: REST, GraphQL, PWA.
03
Custom software
Internal tools, approval workflows, ERP/CRM/POS integration.
04
AI systems
Agents, RAG and automation wired into the operation, not bolted on.
05
Cloud & DevOps
AWS, Docker, CI/CD, Varnish/Redis/CDN, scaled to real traffic.
06
Fractional CTO
Architecture direction and team leadership, without the full-time hire.
14Contact

Let’s build something that matters.

Have a commerce, AI or technology problem that needs a clearer decision? Describe it in a few lines and I will reply within 24 hours, IST business days.

Email
[email protected]
Phone
+91 9898 334 731
Based in
Vadodara, Gujarat, India · IST · GMT+5:30
Responds within 24 hours