Muhammad J.

I’m a Senior Software Engineer & AI Systems Architect with 11+ years of experience designing and delivering production-grade, scalable systems across AI, e-commerce, distributed systems, cloud infrastructure, and data platforms. My expertise spans full-stack and backend engineering, software architecture, microservices, AI/LLM systems, cloud architecture, and technical leadership, with recent work focused on RAG, agentic AI, semantic retrieval, and production LLM integrations.

• Enterprise E-commerce: Built and scaled global e-commerce platforms for brands including The North Face and Timberland through VF Corporation, supporting 10+ regions and 15+ languages. Worked across checkout, payments, REST APIs, localization, performance, and observability, contributing to 20% better Lighthouse performance, 12% higher conversion, and 15% lower cart abandonment.

• AI + E-commerce Platform: At ByPartsOnline, architected a centralized BigQuery data platform integrating Shopify Plus, Google Ads, Google Merchant Center, and supplier APIs across a 1M+ SKU catalog. Built autonomous AI agents for pricing and inventory optimization, LLM-powered product enrichment, RAG, semantic search, and agentic workflows, contributing to a $12M+ revenue engine.

• Scalable Distributed Systems: At Motorola Solutions, built Python and Node.js microservices handling 2M+ daily requests with 99.9% uptime, using PostgreSQL, Kubernetes, Docker, Kafka, Grafana, Kibana, and CI/CD.

• AI & Data Engineering: Hands-on experience building autonomous agents, LLM-driven enrichment and inference pipelines, embeddings, vector search, RAG architectures, knowledge retrieval, and context-aware automation, from data ingestion and API integrations through production deployment.

• Mobile Engineering & Payment Integrations: Experienced in Android development (Java, Kotlin, Jetpack Compose), React Native, and Ionic/Angular, building scalable mobile applications, API-driven workflows, and production-ready user experiences. As a maintainer of the Open edX Android open-source app, contributed to migrating its Android codebase from Java to Kotlin and Jetpack Compose, improving feature delivery speed by 30% for 3M+ active learners. At Cheetay, developed real-time delivery tracking and secure in-app payment features supporting 2M+ users. Additional experience includes Stripe integrations at Halal Labs and PayPal, Klarna, Adyen, and Cybersource payment integrations across The North Face and Timberland e-commerce platforms.

My technical stack includes Python, TypeScript/JavaScript, Java, Node.js, React, Angular, Next.js, Vue/Nuxt, FastAPI, Flask, Django, NestJS, PostgreSQL, MongoDB, Redis, Kafka, Docker, Kubernetes, AWS, GCP, BigQuery, Shopify, LLM APIs, LangChain, RAG, vector databases, and agentic AI.

I’m currently concluding ongoing projects and seeking a long-term, ownership-oriented role where I can help architect, build, and scale AI-native products, e-commerce platforms, data-intensive systems, or technically complex SaaS products.

Core focus:

• AI Systems Architecture (RAG, retrieval pipelines, agentic workflows)
• Distributed systems & microservices
• Production-grade LLM integrations & guardrails
• Observability, reliability & performance at scale
• Engineering leadership & delivery ownership

Leadership & Operating Style

• Managed and mentored 6–10 engineers
• Owned technical direction, delivery, and architecture decisions
• Contributed to hiring and performance feedback

Operating style:

• Async-first, low-meeting environment
• Strong documentation and ownership culture
• Focus on outcomes over activity
• Balanced roadmap: ~70% features / 30% tech debt