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I'm Shuaib Viqar Ahmed, a Senior Full Stack & ML Engineer with 15+ years of experience building AI-powered, cloud-native, microservice platforms across retail, healthcare, and environmental analytics. I enjoy translating complex problems into scalable, data-driven solutions that deliver real value to users. I lead cross-functional teams from concept to production—coding in Java and Python, architecting ML pipelines, and deploying on AWS and Kubernetes. My focus is on robust architectures, end-to-end ML workflows, secure APIs, and mentoring engineers while collaborating with product, data science, and architecture groups to drive impact.…I'm Shuaib Viqar Ahmed, a Senior Full Stack & ML Engineer with 15+ years of experience building AI-powered, cloud-native, microservice platforms across retail, healthcare, and environmental analytics. I enjoy translating complex problems into scalable, data-driven solutions that deliver real value to users. I lead cross-functional teams from concept to production—coding in Java and Python, architecting ML pipelines, and deploying on AWS and Kubernetes. My focus is on robust architectures, end-to-end ML workflows, secure APIs, and mentoring engineers while collaborating with product, data science, and architecture groups to drive impact.

Shuaib Viqar Ahmed

Full Stack Developer, AI Engineer, Data Scientist, +2

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I'm Shuaib Viqar Ahmed, a Senior Full Stack & ML Engineer with 15+ years of experience building AI-powered, cloud-native, microservice platforms across retail, healthcare, and environmental analytics. I enjoy translating complex problems into scalable, data-driven solutions that deliver real value to users. I lead cross-functional teams from concept to production—coding in Java and Python, architecting ML pipelines, and deploying on AWS and Kubernetes. My focus is on robust architectures, end-to-end ML workflows, secure APIs, and mentoring engineers while collaborating with product, data science, and architecture groups to drive impact.…I'm Shuaib Viqar Ahmed, a Senior Full Stack & ML Engineer with 15+ years of experience building AI-powered, cloud-native, microservice platforms across retail, healthcare, and environmental analytics. I enjoy translating complex problems into scalable, data-driven solutions that deliver real value to users. I lead cross-functional teams from concept to production—coding in Java and Python, architecting ML pipelines, and deploying on AWS and Kubernetes. My focus is on robust architectures, end-to-end ML workflows, secure APIs, and mentoring engineers while collaborating with product, data science, and architecture groups to drive impact.

Available to hire

I’m Shuaib Viqar Ahmed, a Senior Full Stack & ML Engineer with 15+ years of experience building AI-powered, cloud-native, microservice platforms across retail, healthcare, and environmental analytics. I enjoy translating complex problems into scalable, data-driven solutions that deliver real value to users.

I lead cross-functional teams from concept to production—coding in Java and Python, architecting ML pipelines, and deploying on AWS and Kubernetes. My focus is on robust architectures, end-to-end ML workflows, secure APIs, and mentoring engineers while collaborating with product, data science, and architecture groups to drive impact.

Skills

Experience Level

Expert

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Language

English

Fluent

Work Experience

Senior Full Stack Engineer / Tech Lead at Nike

January 1, 2019 - November 25, 2025

Architected a large-scale AI-powered e-commerce platform by integrating Java Spring Boot microservices, Python ML pipelines, React 18, and distributed data processing on AWS. Built end-to-end ML workflows (Databricks + Apache Spark) for feature generation, training, batch inference, and real-time scoring; implemented secure REST/GraphQL APIs with OAuth 2.0, Azure AD B2C, and RBAC; delivered real-time event pipelines with Kafka, Redis, and Spark Structured Streaming; optimized frontend performance via code splitting and CDN caching; established CI/CD with GitHub Actions, Docker, Kubernetes, enabling zero-downtime deployments on AWS EKS/ECS. Mentored engineers and partnered with product, data science, and architecture groups to drive delivery.

Senior Software Engineer (AI/ML Focus) at Urbint

November 1, 2019 - November 1, 2019

Built AI-powered risk scoring engines using collaborative filtering and Python ML pipelines; developed and deployed Spring Boot microservices for real-time inferences; managed streaming data ingestion and integrated with hazard analytics systems.

Senior Full Stack Engineer / Java Developer at CVS Health

December 1, 2014 - December 1, 2014

Modernized legacy health care systems by introducing Spring Boot microservices; designed HIPAA-compliant REST APIs for EHR and clinical data exchange, reducing integration time by 40%; built clinician-facing dashboards using Angular/JS for patient insights, risk indicators, and reporting workflows; implemented streaming pipelines with Kafka and RabbitMQ processing over 10M clinical events per day; ensured HIPAA-compliant architecture using Spring Security, OAuth 2.0, LDAP, JWT, and audit logging.