Gagan D.

I’m a multi-disciplinary technology consultant and solutions architect with deep expertise in Shopify development and eCommerce strategy. I help brands from DTC startups to enterprise retailers build high-converting, scalable Shopify stores using custom themes, app integrations, conversion rate optimization, and performance-tuned storefronts built on Online Store 2.0 or Hydrogen. My focus is always on aligning design, UX, and development with real business goals to maximize ROI.

In parallel, I specialize in AI-driven applications and custom web platforms, leveraging Private LLMs, Open-Source AI models (such as Llama, GPT-4All, and Mistral), and full-stack technologies such as Node.js, Ruby on Rails, Python, and Laravel. I work with startups and enterprises to implement secure, intelligent solutions that integrate seamlessly with internal workflows, APIs, and data systems.

With over 10 years of experience, I bring together technical depth, business insight, and user-first design thinking to deliver platforms that are not only technically sound but strategically impactful.

𝗘- 𝗰𝗼𝗺𝗺𝗲𝗿𝗰𝗲 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 & 𝗦𝗵𝗼𝗽𝗶𝗳𝘆 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀
As a certified Shopify expert and seasoned eCommerce strategist, I build stores that convert traffic into sales, from landing page to checkout. My services include:

• Custom Shopify Theme Development (Online Store 2.0)
• Shopify Plus scaling & CRO implementation
• Landing page and funnel development for product launches
• Custom Shopify apps (public/private, subscription, or API-connected)
• Product strategy, A/B testing, and user journey optimization
• Subscription flows using Recharge, Appstle, or custom billing
• Speed optimization, SEO enhancement, and UX fine-tuning
• Full headless Shopify builds using Hydrogen + Remix

𝗣𝗿𝗶𝘃𝗮𝘁𝗲 𝗔𝗜 & 𝗟𝗟𝗠 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 (𝗟𝗟𝗮𝗺𝗮, 𝗢𝗽𝗲𝗻 𝗦𝗼𝘂𝗿𝗰𝗲, 𝗙𝗶𝗻𝗲-𝗧𝘂𝗻𝗲𝗱)
With the rise of AI-driven transformation, I help enterprises implement Private LLMs using models like LLaMA, Mistral, Claude, All GPT, and fine-tuned Open Source LLMs either on cloud or secure on-prem environments.

• Fine-tuned AI assistants trained on internal knowledge
• Document parsing, summarization, and retrieval-based question answering (RAG)
• AI-enabled customer support, workflows, and content tools