Headline

Software Developer | Shopify Themes & Custom Apps | AI Agents on Claude & MCP | Node.js, React, TypeScript

About

Full-Stack Developer | Shopify · Node.js · AI Agents (MCP, Claude API). I'm a full-stack developer working on production e-commerce and AI systems. At an industrial automation distributor in Dubai, I own the front end of a 200,000-product Shopify storefront an MCP-based AI shopping agent built on the Claude API that searches the full catalogue and completes checkout inside the chat, and the Node.js services behind both. Twenty-three theme builds have shipped to that store. The most recent was a rebuild from scratch: new architecture, new layout, its own design language, approved and live within days of first review. Procurement engineers don't browse. They arrive with a part number and leave if the site can't meet them there. Most of what I've built for that catalogue follows from taking that seriously. On my own time I ship products: an AI study platform, a form builder, a few ML pipelines. BCA, Nitte Meenakshi Institute of Technology, 2025. Core stack: JavaScript, TypeScript, Node.js, React, Python, Shopify Liquid, Shopify Admin and Storefront APIs, REST, GraphQL, MCP, Claude API, LLM integration, OAuth 2.0, CI/CD, web performance optimization. Open to full-stack, Shopify, and AI engineering roles. Portfolio, case studies and live links: https://shxhid.is-a.dev shahidafrid97419@gmail.com

Location

Greater Bengaluru Area

AI stack

anthropic apis

claude code

geminicli

github copilot

grok

hugging face

Work experience

Software Engineer at Creative Industrial Automation LLC, Dec 2025 - Present · 10 mos, United Arab Emirates, Sole developer on a 200,000-product Shopify storefront for an industrial automation distributor in Dubai, serving the UAE and GCC. I've shipped 23 theme builds to production here. The most recent was a complete ground-up redesign — new architecture, layout and design system — that was approved and pushed live within days of first review, and is now the store's theme. What I work on: - Shopify theme architecture end to end in Liquid, JavaScript and CSS: three-level metafield-driven navigation, collection and product templates, part-number search, filters, pre-orders, cart and SEO. - Custom Shopify apps in the Partner Dev Dashboard — app proxies, theme app extensions, OAuth session tokens — with the Node.js services behind them deployed on Railway. - An MCP-based AI shopping agent on the Anthropic Claude API, live in production since February 2026. It connects to Shopify's Storefront and Customer MCP servers over JSON-RPC, searches the full catalogue, and completes add-to-cart and checkout inside the conversation. - An Express shipping-estimate proxy that quotes live carrier prices in the cart while keeping every API credential server-side. - A second regional storefront for Saudi Arabia, plus three brand distributor landing pages (IFM, Siemens, SMC) that receive the company's Google Ads traffic. Most of the interesting work happens after deployment: an OAuth token 401 loop, Shopify blocking the app as a security threat, shop-domain resolution behind an app proxy, 4,974 broken image URLs traced to unstable CDN links. Case studies and screenshots: https://shxhid.is-a.dev Liquid · Shopify OS 2.0 · Node.js · Express · React · TypeScript · Claude API · MCP · Railway · PostgreSQL · Prisma · PostHog

Machine Learning Engineer at CodeAlpha, Mar 2025 - May 2025 · 3 mos, Bengaluru, Karnataka, India, As a Machine Learning Intern at CodeAlpha, I worked on real-world AI and data science projects, gaining hands-on experience in developing and implementing machine learning models. Throughout my internship, I successfully completed three key projects: 1. Credit Scoring Model – Developed a predictive model to assess individuals' creditworthiness using historical financial data. Implemented classification algorithms and evaluated model accuracy. 2. Handwritten Character Recognition – Created a handwritten character recognition system capable of recognizing various handwritten characters or alphabets. Extended the model's capabilities to recognize entire words or sentences. 3. Disease Prediction from Medical Data – Developed a machine learning model to predict the likelihood of a disease based on medical data, including symptoms and patient history. Used labeled medical datasets and classification algorithms for accurate diagnosis predictions. This internship provided me with practical exposure to data preprocessing, model training, evaluation, and deployment, enhancing my skills in AI, Python, and deep learning frameworks.

Full Stack Developer at SmartED Innovations, Mar 2024 - Jun 2024 · 4 mos, Bengaluru, Karnataka, India, *Developed full-stack apps with Next.js, Node.js and FastAPI. *Designed and managed cloud database integrations. *Automated deployment pipelines and CI/CD workflows.

Education

Bachelor of computer application, Computer Technology/Computer Systems Technology, Dr. NSAM First Grade College, Bengaluru

Computer and Information Sciences and Support Services, BGS National Public School - India

Public links

github: https://github.com/akhi-shxhid

shxhid.is-a.dev: https://shxhid.is-a.dev/