Anil Prasad
Chapter
New York
Industry Focus
Utilities
Technology Lens
Driving large-scale AI, data, and software engineering transformations by integrating advanced AI/ML, GenAI, cloud modernization, and full-stack development to deliver secure, scalable, and high-impact solutions
Senior Software Engineering Leader - Software products, Data, AI/ML, GenAI at Duke Energy Corporation ·
Transformational, hands-on AI, Data and Software engineering executive with over 20 years of experience leading large, global teams (up to 200+) across Fortune 100 companies, high-growth startups, and consulting firms. Recognized as one of the "100 Most Influential AI Leaders in the USA," I specialize in AI research, technical management, software engineering, full stack application development, solution architecture, and product innovation. Expertise spans AI Automation, full-stack application development, API development, enterprise SaaS, Data engineering, ML Ops, Big Data, cloud transformation (AWS, Azure, GCP), and advanced AI/ML including LLM and GenAI integration. Proven track record of building, scaling engineering teams (team sizes: 25 to 200+), driving end-to-end product development, modernizing legacy platforms, and delivering secure, compliant, and scalable solutions for healthcare, fintech, life sciences, and technology sectors. My leadership has enabled successful cloud migrations, API-first strategies, and the integration of AI/ML and MLOps pipelines to accelerate business value and operational excellence. As a hands-on leader and technical manager, I excel at defining technology vision, building high-performing and diverse teams, and executing complex programs from strategy through delivery. My consulting background includes advising Fortune 100 clients on architecture, data modernization, and digital transformation. I am passionate about mentoring future leaders and fostering a culture of continuous improvement and innovation. Core Skills: 1) Technical Management, Team Leadership (teams of 25–200+) 2) Software Engineering, Full Stack Development (Java, Python, C#, JavaScript, Angular, React, Node.js) 3) API Development, Platform Engineering, SaaS 4) Data Engineering, ETL, Data Warehousing, Big Data 5) AI/ML, LLM, GenAI, MLOps, ML Model Deployment 6) Cloud Migration & Modernization (AWS, Azure, GCP) 7) Regulatory Compliance (HIPAA, FDA, PCI DSS) 8) Solution Architecture, Product Development, Consulting 9) App/Data Security, DevSecOps, API Security Key Achievements: 1) Led global engineering teams (70–200+) for major cloud and AI/ML transformation programs. 2) Architected & delivered API-driven, cloud-native platforms resulting in successful M&As and $4B+ business outcomes. 3) Integrated advanced AI/ML and GenAI solutions, improving accuracy, efficiency, & customer experience. 4) Built consulting & engineering practices, established Centers of Excellence, & delivered measurable business impact across multiple industries.