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Innovative AI researcher and engineer with over a decade of experience in developing cutting-edge AI solutions, advanced infrastructure systems, and network technologies. Specializes in large language models (LLMs), multimodal models, and their applications in enterprise technology and software-defined environments. Proven track record of pioneering AI architectures, training techniques, and infrastructure automation that push the boundaries of what's possible in technology. Expertise spans deep learning, reinforcement learning, NLP, distributed systems, software-defined networking, and open-source development. Three-time recipient of Dell Technologies' Game Changer Award for delivering high-impact innovations that drive business growth. Passionate about advancing the state-of-the-art in AI, influencing future hardware and software directions, and contributing to open-source communities.Things I've worked on :- Pioneered large language model (LLM) applications in enterprise environments, including advanced Retrieval-Augmented Generation (RAG) systems and agentic AI for infrastructure management- Developed and optimized AI models for resource-constrained hardware for anomaly detection in infrastructure management systems- Led the integration of machine learning capabilities across diverse product lines, enhancing performance in areas such as cloud management, networking, and data center infrastructure- Architected and implemented comprehensive machine learning pipelines for research and development, focusing on deep learning, reinforcement learning, and NLP- Established best practices and mentored teams in machine learning, fostering a culture of AI innovation within organizations - Bridged the gap between academic AI research and practical implementation in enterprise, educational, and healthcare settingsWhat excites me :- Pushing the boundaries of large language models (LLMs) and their applications in enterprise environments- Developing innovative AI solutions that bridge the gap between cutting-edge research and practical, real-world implementation- Creating intelligent, agentic systems that can automate and enhance complex tasks- Mentoring and fostering a culture of AI innovation within organizations- Contributing to open-source projects and advancing the field of AI through collaboration- Solving complex, real-world problems using a combination of AI, machine learning, and domain-specific knowledge- Exploring novel AI architectures and training techniques to improve model performance and capabilities
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Senior ScientistZscalerLos Angeles, Ca, Us
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Distinguished Engineer - Artificial IntelligenceDell Technologies Dec 2022 - PresentRound Rock, Texas, UsRoles and Responsibilities:- Lead cutting-edge research and engineering initiatives in Large Language Models (LLMs) and agentic AI systems for enterprise applications- Spearhead the development and implementation of state-of-the-art LLMs/LMMs, improving model quality and accelerating training and inference speed- Design and implement advanced AI solutions that enhance product offerings and customer experiences- Collaborate with cross-functional teams to integrate advanced ML capabilities into product lines, enhancing performance and functionalityProject Specific work:AIOps Assistant for APEX AIOps Suite:• Architected and implemented an advanced RAG system using LLMs for cloud management support• Achieved 75%+ success rate in responses, 40% reduction in query resolution time, and 99.9% uptime• Introduced novel topical cluster-based filtering, enhancing retrieval accuracy by 25%Product-Wide Agentic AI System:• Led development of Dell's first agentic AI system for compute, network, and storage product management• Engineered function-calling LLMs integrated with product-level and general-purpose APIs• Implemented novel architecture bridging LLMs with enterprise infrastructure managementOptimized Novelty Detection for Low Power Platforms:• Developed novelty detection approaches for use in Dell's iDRAC platform• Implemented real-time anomaly detection for server subcomponents within hardware constraints• Demonstrated expertise in model compression and optimization for specialized hardware deployment -
Sr. Scientist And Distinguished Member Of Technical Staff - Machine LearningDell Technologies Dec 2017 - Dec 2022Round Rock, Texas, Us
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Sr. Machine Learning Research Engineer - R&DBrocade Jul 2015 - Dec 2017San Jose, Ca, UsApplication of machine learning to the infrastructure, and software spaces. Architecting and engineering all aspects of machine learning pipeline(s) used for research and development within the organization. Specific work in the areas of Deep Learning, Reinforcement Learning, Topic Modeling, NLP, and more generally, Supervised and Unsupervised Learning.Design and engineering of production-ready big data and machine learning infrastructure from research on through to production application.Target a consumer machine learning approach for all work our team has performed. Developing best practices, workflows, and tooling encompassing rapid iteration from idea, to experimentation, on through to production application.Provide leadership, guidance, and mentoring of machine learning research and technologies to all BU's through weekly reading groups, study groups, and overall evangelism of machine learning, establishing machine learning as a fundamental and core competency within the organization. -
Partner EngineeringPlexxi Inc. Dec 2014 - Jul 2015Research, architecture, design, engineering and documentation for the Plexxi Services Engine platform tying heterogeneous IT infrastructure environments together through the use of both Open Source and internally developed software through policy based actor model / control mechanisms. Up to and including prototyping proof of concepts and working with Engineering teams to implement production ready features within the Plexxi product.Assist in design and deployment of Plexxi Integrations CI / CD framework, enabling the first TDD effort within the company, through tools such as Jenkins, Atlassian Bamboo, and infrastructure automation tooling such as Puppet, Razor, Chef, Ansible, and infrastructure components such as Docker, KVM, Openstack, VMware, Plexxi, etc.Fill the roll of evangelist for the Plexxi product both internally and externally, helping to drive the understanding of Software Defined Networking and the benefits that this brings to IT as an industry.
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Technical Product Manager, Big Data FabricsPlexxi Inc. Jul 2014 - Nov 2014Investigate technologies surrounding the Big Data and Infrastructure ecosystem, combined with analyzing customer requirements to help guide creation of product features pertaining to all software and hardware products both within Plexxi and respective external organizations, alike.Design, and prototype potential product integrations that span all facets of the Plexxi product, combined with any Big Data and/or Infrastructure product(s) spanning VMware, OpenStack, and even high level software products such as Hortonworks, Cloudera, MapR, and any other products that fall under the Big Data and/or Infrastructure umbrella.Define roadmap pertaining to both prototypes that have been created and features that are being requested by customers, driving value through all facets of infrastructure and software, running on that infrastructure, and build flexible and extensible platforms and tools.Manage partnerships for all companies through which Plexxi partnered in the Big Data ecosystem.
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Network Research EngineerCt Education Network / University Of Connecticut Feb 2013 - Jul 2014Storrs, Ct, UsResearch, design, and engineering of next generation service provider offerings within the research and educational setting of Connecticut's General Education, Higher Education, Healthcare, and municipality communities.Concentrations on service design and provisioning, operational automation, and new service exploration for our communities. Designing and developing services in the realm of SDN / NFV for various offerings within our network, while utilizing emerging technologies to help support our Research and Education dedication to the community.Contributing to the OVSDB, MD-SAL, and Toolkit portions of the OpenDaylight Controller project found at http://www.opendaylight.org
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Frequently Asked Questions about Ed Henry
What company does Ed Henry work for?
Ed Henry works for Zscaler
What is Ed Henry's role at the current company?
Ed Henry's current role is Senior Scientist.
What is Ed Henry's email address?
Ed Henry's email address is ed****@****ell.com
What is Ed Henry's direct phone number?
Ed Henry's direct phone number is +140833*****
What are some of Ed Henry's interests?
Ed Henry has interest in Data Science, Yang, Rnns, Visualization, Information Theory, Restconf, Hadoop, Netconf, Feature Engineering, Anns.
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Ed Henry has skills like Vpn, Network Design, Ospf, Active Directory, Lan Wan, Security, Network Engineering, Tcp/ip, Microsoft Exchange, Voip, San, Mpls.
Who are Ed Henry's colleagues?
Ed Henry's colleagues are Surbhi Prajapati, Bharath S, Shamili Bhat, Nick Anderson, Kirti Garg, Mai Takahashi, Stephy Rodrigues.
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