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Senior Full Stack Engineer with 7+ years building enterprise-scale SaaS products, most recently at Verizon across consumer and business platforms. Led cross-functional teams, improved delivery predictability, reduced deployment failures, and optimized performance across front-end, back-end, and data layers. Hands-on full-stack practitioner with React/TypeScript, Node.js/Python, AWS-native architecture, and LLM integration (including RAG). Experienced delivering accessible UI for enterprise systems and building ML-adjacent services exposed via REST and GraphQL for production workflows.…Senior Full Stack Engineer with 7+ years building enterprise-scale SaaS products, most recently at Verizon across consumer and business platforms. Led cross-functional teams, improved delivery predictability, reduced deployment failures, and optimized performance across front-end, back-end, and data layers. Hands-on full-stack practitioner with React/TypeScript, Node.js/Python, AWS-native architecture, and LLM integration (including RAG). Experienced delivering accessible UI for enterprise systems and building ML-adjacent services exposed via REST and GraphQL for production workflows.

ADIL ALI

Full Stack Developer, Software Engineer, Back-End Developer, +3

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Senior Full Stack Engineer with 7+ years building enterprise-scale SaaS products, most recently at Verizon across consumer and business platforms. Led cross-functional teams, improved delivery predictability, reduced deployment failures, and optimized performance across front-end, back-end, and data layers. Hands-on full-stack practitioner with React/TypeScript, Node.js/Python, AWS-native architecture, and LLM integration (including RAG). Experienced delivering accessible UI for enterprise systems and building ML-adjacent services exposed via REST and GraphQL for production workflows.…Senior Full Stack Engineer with 7+ years building enterprise-scale SaaS products, most recently at Verizon across consumer and business platforms. Led cross-functional teams, improved delivery predictability, reduced deployment failures, and optimized performance across front-end, back-end, and data layers. Hands-on full-stack practitioner with React/TypeScript, Node.js/Python, AWS-native architecture, and LLM integration (including RAG). Experienced delivering accessible UI for enterprise systems and building ML-adjacent services exposed via REST and GraphQL for production workflows.

Available to hire

Senior Full Stack Engineer with 7+ years building enterprise-scale SaaS products, most recently at Verizon across consumer and business platforms. Led cross-functional teams, improved delivery predictability, reduced deployment failures, and optimized performance across front-end, back-end, and data layers.

Hands-on full-stack practitioner with React/TypeScript, Node.js/Python, AWS-native architecture, and LLM integration (including RAG). Experienced delivering accessible UI for enterprise systems and building ML-adjacent services exposed via REST and GraphQL for production workflows.

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Work Experience

Senior Software Engineer at Verizon

January 1, 2021 - Present

Directed a 7-engineer cross-functional team delivering front-end and back-end features across Verizon enterprise consumer and business platforms, including AI-personalized products and internal tooling. Architected reactive frontend systems using React, TypeScript, RxJS, and Backbone for real-time personalization. Improved delivery predictability with structured Scrum ceremonies and proactive risk tracking. Reduced deployment failures by redesigning CI/CD with rollback automation, blue-green rollouts, and canary testing. Optimized database query execution time by 25% via indexing, query plan analysis, and ORM refactoring. Built accessible React/Node UI components for dashboards and portals, integrating GraphQL layers and supporting low-latency edge/AI workloads.

Senior Software Engineer at Infosys

December 1, 2018 - December 1, 2021

Led React and React Native development across enterprise client engagements using Agile. Delivered performance improvements (15% reduction in critical response times) through code-splitting, lazy loading, and component optimization. Designed and deployed Python backend microservices integrated with ML frameworks (PyTorch, TensorFlow, Pandas) and exposed them via REST and GraphQL APIs. Integrated LLM API endpoints and generative AI tooling into enterprise data pipelines for intelligent document processing and workflow automation. Built Node/Express REST APIs improving throughput by 25%. Practiced TDD with Mocha/Chai and achieved 85% test coverage, reducing post-launch defects by 50%. Embedded pytest into CI/CD and improved test reliability by 70%. Redefined API documentation with Swagger/OpenAPI to cut onboarding/lookup time by 50%.