Nabbil Khan Email & Phone Number

Downers Grove, Illinois, Us

▪Led AI-Driven Product Transformation: Spearheaded AI initiatives to modernize Lifeline’s digital infrastructure, positioning the organization at the forefront of healthcare innovation.▪Designed Data-Driven Wireframes: Developed wireframes for the transition from the legacy email network to an AI-enhanced, in-house communication system, enhancing efficiency and user experience.▪Orchestrated Agile Ceremonies with AI Teams: Directed agile ceremonies and led cross-functional AI/ML teams to drive timely, high-quality deliverables aligned with strategic goals.▪Managed AI/ML-Enhanced Product Backlogs: Refined and prioritized product backlogs with a focus on data-driven features, ensuring alignment with key business objectives.▪Coordinated Global Development Teams: Aligned onshore and offshore development teams to accelerate AI project timelines, fostering seamless collaboration and high-quality outputs.▪Optimized Testing and Compliance with AI Insights: Partnered with stakeholders to establish comprehensive testing scenarios, leveraging AI insights for accurate reproduction steps and enhanced regulatory compliance.▪Generated AI-Focused Executive Reports: Crafted detailed executive summaries with AI-driven insights, providing stakeholders with actionable data to guide decision-making and measure progress.▪Conducted Knowledge Transfer for AI Solutions: Led sessions to address development and testing challenges, facilitating knowledge transfer and ensuring alignment across AI/ML and engineering teams.▪Transitioning from legacy email system (Cheetah Mail) to Lifeline' in-house email communication system using APIs▪Partnering with stakeholders to establish reproduction steps for various testing scenarios

▪Agile Leadership: Enhanced project delivery by implementing Agile methodologies, effectively balancing Scrum Master and Product Owner roles to drive team collaboration and project success.▪AI-Integrated CI/CD Pipeline: Developed a robust CI/CD pipeline with integrated AI/ML model deployment, accelerating product delivery and improving model quality and reliability.▪Infrastructure as Code (IaC): Standardized deployment environments using Infrastructure as Code tools, ensuring consistency across cloud environments and supporting scalable AI solutions.▪HIPAA-Compliant Cloud Migration: Led the secure, HIPAA-compliant migration of systems to the cloud, incorporating AI-driven monitoring for real-time anomaly detection.▪AI-Driven Security Management: Embedded machine learning–based security checks within DevOps workflows, strengthening HIPAA compliance and proactively detecting risks.▪Performance Optimization for AI Models: Tuned system and model performance for high availability and resilience, optimizing model efficiency in a cloud environment.▪Advanced Monitoring and Logging: Deployed comprehensive monitoring systems with AI-powered insights, providing actionable data for proactive issue resolution.▪Incident Response and Resilience: Led incident response strategies to minimize downtime, with ML algorithms for early detection and response to critical issues.▪Test Automation and Quality Assurance: Established a robust test automation framework, improving software reliability and productivity across the team.▪Configuration and Change Management: Implemented efficient configuration and change management practices, enhancing system stability and maintainability in an AI/ML environment.

▪AI Product Roadmap Development: Defined and executed a strategic roadmap for AI-driven features, aligning with client needs to address complex challenges through machine learning solutions.▪Predictive Analytics Models: Led development of predictive analytics models to analyze customer behavior, enabling trend forecasting and optimized resource allocation.▪Data Pipeline Automation: Managed automated data ingestion and preprocessing pipelines to ensure consistent, real-time data flow for ML models, reducing manual intervention by 40%.▪Scalable ML Infrastructure: Designed and implemented a scalable machine learning infrastructure on AWS and GCP, reducing latency by 30% and enabling seamless scaling.▪Deployed monitoring and logging services across cloud environments, improving issue response time by 40%.▪Real-Time Anomaly Detection: Deployed AI-driven real-time anomaly detection systems, improving client operational response times through proactive alerts.▪Scripted cloud infrastructure as code (IAC) using tools like Terraform, reducing human error in infrastructure setup and maintenance.▪Optimized cloud resources and costs by introducing auto-scaling and automated cleanup scripts.

▪Business Requirements Documentation: Collaborated with the Product Owner to draft and revise the Business Requirements Document, ensuring alignment with project goals and stakeholder needs.▪Hybrid Project Management: Operated within a hybrid environment, using waterfall for analysis and agile sprints for implementation, optimizing project adaptability and delivery timelines.▪Process Flow Diagrams: Developed process flow diagrams in MS Visio to map dependencies and outline high-level workflows, supporting efficient project execution.▪Regulatory Compliance: Coordinated with integration teams and subject matter experts to ensure compliance with FAA regulations, maintaining strict adherence to industry standards.▪Stakeholder Collaboration: Partnered with senior managers and stakeholders to define project vision, ensuring alignment and successful delivery of a multi-million-dollar improvement project.▪Market Research & Application Enhancement: Conducted market research by consulting with boarding gate managers at O'Hare International Airport, identifying potential enhancements for the Gate Reader application.▪Cross-Functional Team Engagement: Collaborated with offshore development teams and cross-functional stakeholders, utilizing Sabre Global Distribution System to optimize packaging processes for flights and hotels.