Muhammad Zamir
I'm a Senior Full-Stack Developer with 10+ years of experience building high-performance web and mobile applications across e-commerce, hospitality, and enterprise systems.
About
I’m a Senior Full-Stack Developer with 10+ years of experience building high-performance web and mobile applications across e-commerce, hospitality, and enterprise systems. I specialize in crafting scalable, secure, and user-centric products using React, Node.js, Spring Boot, Django, and React Native, with a strong focus on cloud-native architectures and microservice patterns.
I love clean architecture, performance optimization, and delivering seamless cross-platform experiences. I enjoy mentoring teams, collaborating with UX and data colleagues, and turning complex requirements into robust, maintainable solutions that scale.
- 3 years' experience
- Joined September 2025
Skills· 39
Languages
- MalayFluent
- EnglishFluent
Industry experience
- Software & Internet
- Professional Services
- Media & Entertainment
- Education
- Manufacturing
- Computers & Electronics
- Retail
- Healthcare
- Travel & Hospitality
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Work experience· 17 roles
Led the full-stack development of Nike’s conversational shopping assistant and personalized product pages, integrating backend APIs with React and Node.js microservices. Built responsive, high-traffic frontends for Nike.com and the SNKRS app; developed RESTful APIs and GraphQL services for personalization and recommendations hosted on AWS (Lambda, ECS, S3). Implemented CI/CD pipelines with GitHub Actions, Docker, and Kubernetes to enable reliable delivery across production clusters. Collaborated with UX, data, and mobile teams to deliver cross-platform features with React Native for SNKRS, and integrated analytics dashboards using Next.js + D3.js to provide real-time insights for marketing and merchandising teams.
Designed and deployed Nike's GenAI shopping assistant on Nike.com + SNKRS using LangChain, OpenAI APIs, and FAISS/Pinecone, enabling conversational discovery and reducing support handling time by 35%. Built a multi-agent automation system that generated marketing copy, product descriptions, and campaign assets, cutting manual workload by 40%. Launched AI-powered trend forecasting and style-matching models with PyTorch, boosting SNKRS app retention by 30%. Engineered Nike Fit Predictor service (CV + NLP + purchase data) reducing size-related returns by 18%. Developed supply chain demand forecasting models with AWS SageMaker + PyTorch Lightning, reducing out-of-stock events by 22%. Automated AI infrastructure with Kubernetes, Terraform, GitHub Actions, scaling microservices to millions of users. Led cross-functional Agile teams, mentored junior engineers, and implemented ML governance with MLflow + Databricks A/B testing.
Design and develop high-performance cross-platform mobile applications with Flutter, ensure real-time data synchronization via Firebase Firestore and Cloud Messaging, implement secure authentication with Auth0, and build scalable backend services using REST and GraphQL. Apply CI/CD practices with GitHub Actions and Docker for containerization; leverage PostgreSQL for relational data storage and cloud solutions (Azure) to deliver secure, scalable apps.
Education
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