Top DevOps Experts 2025

Ankit Kumar Honey is a Senior Engineering Manager at GitHub (Microsoft), where he leads the Dependabot team within the Supply Chain Security organization. His team builds and operates the most widely adopted automated dependency security platform in the world - monitoring over 20 million repositories across 30+ package ecosystems and serving 180+ million developers globally. As the Directly Responsible Individual (DRI) for Dependabot, Ankit led the architectural migration of the platform from AWS to GitHub Actions - a system processing 40million+ jobs per month across 20+ million repositories - with zero user disruption. This migration eliminated huge cost per year in infrastructure and unlocked critical capabilities including self-hosted runner support and private network integration, enabling government and high-compliance organizations to adopt automated dependency security within their sovereign environments. Dependabot is actively used by U.S. federal agencies including CISA, NASA, NIH, the Department of Defense, and the General Services Administration, as well as UK government entities including the Ministry of Justice and the Government Digital Service (GOV.UK). With over 17 years of progressive engineering leadership across Amazon Web Services, Verizon, Toshiba, and Wipro, Ankit specializes in building large-scale security automation systems at the intersection of AI and software supply chain defense. He is currently pursuing a Master's degree in Data Science at Harvard University Extension School with a focus on artificial intelligence. Ankit is a published author in the Times of India on AI-driven software protection, co-authored the Bazel project's official blog post on Dependabot ecosystem expansion, and has spoken at Microsoft Reactor on AI agents and vulnerability remediation. He has been invited to appear on the CyberWire Daily podcast to discuss closing the gap between vulnerability detection and remediation at global scale.

Cynthia Udoka Duru has led innovative projects across various sectors, from driving cloud-native system design, automated CI/CD workflows, and infrastructure lifecycle management to architecting solutions, contributing to digital health, finance & maritime cybersecurity, enabling exponential growth, improving infrastructure efficiency, and supporting award-winning innovation across Africa and Europe.

Sandip Patel is a Enterprise Cloud and AI Security Expert specializing in enterprise AI, agentic systems, and secure cloud platforms. With 20+ years of experience, he helps Fortune 500 organizations design and deploy scalable AI solutions that balance innovation with governance, security, and compliance. His expertise spans Generative AI, Retrieval-Augmented Generation (RAG), and emerging agentic AI architectures, with a strong focus on building private, enterprise-grade AI systems on Azure. Sandip works closely with business and technology leaders to modernize legacy systems, integrate intelligent workflows, and operationalize AI in regulated industries such as financial services and healthcare. Recognized for his ability to translate complex technologies into real-world business outcomes, Sandip regularly advises on topics including AI governance, Zero Trust architecture, responsible AI, and enterprise digital transformation. He is also an active contributor to research, open-source initiatives, and industry discussions on the future of AI and cloud computing.

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Sr. DevSecOps / MLOps Engineer, AIOps Architect, and Agentic AI Specialist with 14+ years of experience across Azure, AWS, and GCP. I specialize in MLOps, cloud automation, agentic AI systems, and secure infrastructure, building scalable machine learning operations pipelines integrated with observability-driven AI to enhance system intelligence and reliability. Holding a Ph.D. in Computer Science and Engineering (AI-Driven Cloud Security Solutions), my expertise spans DevSecOps, MLOps, AIOps, Cloud Architecture, Site Reliability Engineering, Agentic AI, and AI/ML Engineering. I create robust, secure, and scalable solutions that bridge the gap between development, operations, and security, with a track record of leading ML engineering teams and enterprise-scale deployments. My work has driven 50% fewer security incidents, 60% faster deployments, and 40% less manual effort. I am also an active researcher with 25 publications and 600+ citations in AI-driven cloud security.

Results-oriented technology leader with over 9 years of experience in Infrastructure Security, Automation, Generative AI, and Software-Defined Operations. Demonstrated ability to lead high-performing teams, streamline enterprise support, and execute strategic initiatives that enhance organizational resilience and operational efficiency. A seasoned cybersecurity professional, experienced in vulnerability and patch management at scale, with a strong track record of driving measurable, data-driven impact through intelligent automation. Skilled in designing and implementing secure, scalable, and compliant infrastructure solutions that align with business and regulatory goals. Proven expertise in project and program management, particularly within Agile and Scrum frameworks, with a focus on cross-functional collaboration, risk mitigation, and continuous improvement. Recognized for combining technical depth with strategic vision to deliver transformative outcomes in complex enterprise environments.

Mature DevOps architect with deep technical background and proven expertise in design, implementation and support of high-load HA infrastructure, enterprise architecture along with people’n’project management.

Systems Builder with a background in DevOps, IT Operations, Security. Focusing on Autonomous DevOps and AI Automation for Law Firms

Principal Data Operations Engineer specializing in data governance and cloud database architecture across regulated financial services and insurance. I built an automated classification system that labelled 1.5 million database columns and bound protection to the result, work featured by Dagster and published as a first-author IEEE paper. I can speak to sensitive-data classification at scale, the cost and accuracy tradeoffs of using LLMs for governance work, access-control architecture and how it decays, and what actually happens inside a platform team when an industry-wide breach is announced. IEEE Senior Member. 17 years in the field.

Naga Santhosh Reddy Vootukuri, a seasoned professional with over 17+ years working at Microsoft, reflects on his journey from India to the USA. Graduating from Sreenidhi Institute of Science and Technology in 2008, he now serves as a Principal Software Engineering Manager for Azure SQL. His role involves leading his team through software development cycles, ensuring successful product launches. Currently, Naga focuses on a significant initiative in Azure SQL Deployment, emphasizing high availability for SQL customers during feature rollouts. Previously, he managed Master Data Services (MDS) within SQL Server, gaining community connections and contributing actively to Microsoft forums. Currently his focus is mainly on AI LLM's and he shares his knowledge through detailed articles. Aside from technical responsibilities, Naga engages in Microsoft hackathons as judge and mentors junior engineers, finding fulfillment in guiding their career paths. He also champions diversity and inclusion, advocating for equality within the tech industry. Naga sees himself not only as a technical leader but also as a catalyst for positive change at Microsoft. He was featured on several media articles including yahoo, Aol, MSN, Business insider, jotforms, informationweek to name a few.

Ganesh Suryadas Gurudu is an IEEE Senior Member and independent researcher specializing in agentic AI systems, autonomous infrastructure operations, and production AI safety frameworks. With 16+ years of engineering and architecture experience across large-scale distributed platforms, his research focuses on the intersection of AI governance, runtime anomaly detection, and multi-agent system safety — areas of increasing urgency as autonomous AI agents operate in production environments without adequate oversight infrastructure. He serves as a peer reviewer for IEEE and Springer venues and is an active contributor to CNCF open-source projects including OpenTelemetry. Research interests: Agentic AI Systems, Autonomous Remediation, Human-in-the-Loop AI, Safe Autonomous Systems, Anomaly Detection, MLOps, and AI Governance.

Senior software engineer focused on cybersecurity infrastructure, threat-detection data planes, and distributed cloud systems, with 10+ years of professional experience, including 5+ years at Microsoft and 5+ years at Amazon Web Services. I design and deliver production-scale security platforms across software supply-chain protection, container and cloud workload security pipelines, and AI-assisted semantic threat analysis. My work centers on low-latency distributed decisioning, horizontally scalable processing services, and resilient release-gate architectures for high-risk artifacts.

Ashish Garg is a Principal Product Manager with 15+ years scaling AI/ML products and product operations at Fortune 100 firms. He works at the intersection of Product Ops, enterprise planning, and applied AI, focused on the "front door" of delivery: intake, triage, prioritization, and the rituals that turn strategy into shipped outcomes. In his enterprise planning work, he architected a centralized planning platform that institutionalized Continuous Planning and reduced PM coordination time by 40%. He also leads GenAI initiatives for product teams, including custom assistants and agentic workflows built on RAG and multi-contextual prompting architectures. His earlier work in Financial Planning and Supply Chain Finance delivered measurable operational impact through ML products spanning productivity, forecasting, and churn prediction. Ashish believes the failure mode in complex organizations isn't effort but unclear ownership, hidden dependencies, and decisions that can't be defended later. He designs AI-assisted workflows where humans stay in control, outputs are grounded in evidence, and decision trails are explainable to leadership. He's a recognized thought leader on enterprise AI productization, frequently speaking at industry conferences on his frameworks for scalable, trustworthy AI delivery.

Pavan Madduri | Multi-Cloud Architect & Global Kubestronaut Pavan Madduri is a Senior Cloud Platform Engineer and a leading authority in high-scale cloud-native infrastructure. He is recognized as a Golden Kubestronaut, an elite distinction from the Cloud Native Computing Foundation (CNCF) held by only a select group of experts globally who have mastered the entire Kubernetes ecosystem. Currently architecting enterprise-scale platforms at W.W. Grainger, Pavan specializes in the intersection of AI-driven "Agentic Ops," GitOps, and High-Performance Computing (HPC). He is a pioneer in developing self-healing infrastructure, utilizing Model Context Protocol (MCP) servers and LLMs to automate complex cluster remediation—effectively moving the industry from reactive monitoring to autonomous operations. Areas of Expertise for Media Inquiry: - The Future of AI in DevOps: How "Agentic Ops" and AI-agents are replacing traditional on-call rotations and manual troubleshooting. - Multi-Cloud Resilience: Strategic frameworks for scaling Kubernetes seamlessly across AWS, Azure, and Oracle Cloud Infrastructure (OCI). - Enterprise GitOps: Implementing ArgoCD v3 and Infrastructure as Code (Terraform, Crossplane) to drive 90% faster deployment cycles. - Scientific Computing in the Cloud: Bridging the gap between High-Performance Computing (HPC) and cloud-native standardization. Key Accolades & Industry Impact: - Oracle ACE Associate: Recognized for significant technical advocacy and community contribution within the Oracle ecosystem. - Published Thought Leader: Frequent contributor to major trade publications including InfoQ, Cloud Native Now, and Platform Engineering. - Public Speaker: Featured speaker at the High-Performance Software Foundation (HPSF) and InfoQ Live on the future of autonomous platform engineering. - IEEE Senior Member: Active contributor to the global engineering community focused on cloud-native standards.

For more than 20 years, I have been helping the energy industry improve safety and operational performance through collaboration, innovation and the practical application of emerging technologies. As the facilitator of the DROPS Asia Chapter, I work with operators, drilling contractors and service companies to share knowledge, develop industry best practices and accelerate the adoption of practical safety solutions. Through conferences, workshops and collaborative initiatives, I help organizations translate lessons learned into measurable improvements. As the founder of DrillingVR, I develop digital solutions that make safety knowledge more accessible, engaging and actionable. My work increasingly focuses on Artificial Intelligence, computer vision, workflow automation and digital transformation, while continuing to leverage Virtual Reality and immersive technologies where they provide genuine value. Recent initiatives include: * AI-powered Red Zone Monitoring that helps organizations understand and reduce personnel exposure through data-driven insights. * AI assistants and workflow automation that simplify safety processes and improve access to operational knowledge. * The DROPS Metaverse and other digital learning platforms that support competency development, collaboration and knowledge sharing across the global energy industry. I believe technology should empower people rather than replace them. The greatest improvements come from understanding how work is actually performed and using data to build safer, smarter and more efficient ways of working. I am passionate about bringing people together, sharing knowledge and helping the energy industry adopt practical innovations that deliver measurable improvements in safety, operational performance and human factors.

David Vu is a technologist and AI innovation specialist with over a decade of experience building scalable real-world solutions across cloud infrastructure and software engineering. As the founder of FlowStarts LLC and a former engineer at Amazon AWS, David specializes in bridging the gap between deep technical execution and business strategy. He provides expert commentary on Generative AI implementation, DevSecOps, and digital transformation, helping organizations move beyond the hype to build practical result-driven automation. With a background spanning early-stage startups to enterprise platforms, David offers unique insights into how AI is reshaping human productivity and industry scalability. He is a frequent contributor to discussions on cloud security, AI-driven decision making, and the future of automated workflows.

As a software engineer at Featured, I focus on utilizing LLMs and other techniques to ensure Featured runs as smoothly as possible. I use novel applications of LLMs and other generative AIs to automate routine business operations.

Nishanth Sirikonda is a Cloud and Enterprise Solutions Architect, AI strategist, and technology leader with over a decade of experience designing and delivering secure, scalable, and intelligent enterprise solutions. His expertise spans enterprise workforce management, cloud computing, artificial intelligence (AI), machine learning (ML), cybersecurity, and data privacy, helping organizations modernize technology, strengthen security, and optimize business operations. By combining strategic architecture with emerging technologies, he enables organizations to accelerate digital transformation, improve decision-making, and deliver exceptional workforce experiences. Throughout his career, Nishanth has led enterprise-scale digital transformations, global Workday implementations, mergers and acquisitions (M&A), cloud modernization initiatives, and compliance-driven architecture programs across public and private sectors. He is recognized for translating complex business challenges into innovative technology solutions that improve operational efficiency, governance, security, and business outcomes. Passionate about building intelligent enterprises, Nishanth leverages AI-driven analytics, automation, predictive insights, and responsible AI practices to develop resilient, scalable platforms that enhance workforce operations and support long-term organizational growth. An active Senior IEEE member, international conference speaker, published researcher, peer reviewer, and technical judge, Nishanth regularly shares expertise on AI, cloud computing, cybersecurity, enterprise architecture, DevSecOps, identity and access management, and digital transformation. He has authored IEEE publications on privacy-preserving AI, federated learning, AI observability, and compliance-aware intelligent systems, while reviewing more than 70 research papers for leading IEEE and international conferences focused on AI, cybersecurity, communications, and cloud technologies. Nishanth is available for keynote presentations, panel discussions, webinars, executive roundtables, media interviews, and technology podcasts. He provides practical insights into AI adoption, enterprise cloud strategy, cybersecurity, and digital transformation, making complex technologies accessible to both technical and business audiences. His mission is to bridge human potential with machine intelligence by building secure, resilient, and future-ready organizations.

I am a Web Developer, Technical SEO Strategist, and the Founder of DearBloggers, a premium digital community that bridges the gap between expert content creators and high-authority publications. With extensive hands-on experience in building automated growth systems and managing large-scale content operations, I specialize in helping digital assets scale their organic reach. My core areas of expertise include: • Technical SEO & Content Strategy: Developing programmatic SEO architectures, targeting high-CPC niches, and building sustainable link-building ecosystems. • Web & App Development: Architecting robust platforms and SaaS applications using Laravel, PHP, Python, and React Native. • Workflow Automation: Building custom AI-driven systems (including LLM API integrations) for content scheduling, YouTube automation, and media generation. • Digital Publishing: Navigating App Store Optimization (ASO), application deployment, and managing live, high-traffic digital environments. As a media source, I provide data-backed, actionable insights rather than generic marketing fluff. Whether your article covers the future of programmatic SEO, the impact of AI on content creation, or the technical realities of building and scaling digital platforms, I can offer your readers a practical, 'in-the-trenches' perspective.

As a Mold Making and Precision Manufacturing Expert with over 10 years of hands-on industry experience, I specialize in advanced injection molding technologies, rapid prototyping, and scalable end-to-end manufacturing solutions at First Mold (www.firstmold.com). Beyond the shop floor, I am actively engaged in industry thought leadership and technical communication. I regularly author in-depth, data-driven articles on modern manufacturing trends and DFM (design for manufacturability) optimization for our company platform, while also curating a dedicated professional Newsletter on LinkedIn for nearly 1,000 engineering and industry peers. Throughout my career, I have worked closely with global brands to streamline production cycles and solve complex engineering challenges. I bridge the gap between initial design concepts and high-volume, cost-effective production, ensuring strict quality control every step of the way. For journalists, media professionals, and industry peers seeking practical, field-tested insights on tool design, manufacturing innovations, and supply chain trends, I am always open to sharing expert commentary and data-backed perspectives.