I enjoy my role as a senior Account Manager - Financial Services, actively helping my clients deliver outstanding products/services and customer experiences to their target markets.

I help customers derive meaningful and actionable insights from their data, by leveraging the most comprehensive portfolio of Analytics and AI services on the planet, from AWS.

Gurobi Optimisation makes the best mathematical optimisation solver available in the market. It allows users to state their toughest business problems as mathematical models and iterates over all the possible options to pick the best solution, leading to significantly better business decisions. Put a different way, mathematical optimisation allows businesses to leverage their often-massive datasets to drive better business outcomes. Gurobi offer world-class support via their global team of PhD math experts for vastly superior customer satisfaction outcomes. I am responsible for managing Gurobi clients and sales results in Australia, New Zealand and Southeast Asian markets.

DeepInsights provide sales and consulting services for the deployment of Data and AI/ML Platforms from Nvidia, Google Cloud and AWS for the Enterprise, based on your unique requirements. DeepInsights also provide Data Science services to test/deploy AI/ML models for vision/natural language or predictive use-cases to solve business problems.Technically, I am an AWS-certified Professional Solutions Architect, Google-certified Professional Cloud Architect and Google-certified Data Engineer. I also hold Nvidia certifications on 'Deep Learning for Computer Vision' and 'Distributed Deep Learning for Tensorflow'.

I am responsible for the sales of of AI/ML/Deep Learning Platform solutions in the ANZ market. My role covers a variety of sectors, including financial services, telco's, government, retail and industrial clients.The IBM AI solutions are built using deep learning frameworks like Tensorflow, PyTorch, Caffe2 with data analytics and processing tools like Apache Spark and Apache Beam. These solutions leverage compute with accelerators on high speed parallel filesystems,and are typically anchored by Kubernetes.I am responsible for:- Developing a viable yearly business plan for the Deep Learning segment.- Building a sales strategy, opportunity pipeline and managing it's logical progression to a sales outcome- Ensuring the right skill mix within the small but growing Deep Learning team- Speaking at industry events like Gartner summits, Nvidia GTC conferences and roadshowsBeing an rapidly evolving discipline, I also have responsibility for feedback of customer requirements and product design features to the IBM Development Labs.I also work with the partner ecosystem, Nvidia, Google and other vendors to build a compelling value proposition for my clients. I have a proven record of meeting or exceeding my commitments to clients and the business.

As a key member of the pre-sales team, I was responsible for the pre-sales design and opportunity progression for private cloud solutions in the IBM Systems group. In this role, I owned and closed key opportunities in the private cloud and Managed Service Provider market.- I had design responsibilities as the IBM Systems OpenStack SME for the Australia/New Zealand market and consulted with clients on community and IBM editions of the OpenStack cloud management platform. - I have deep Linux and virtualization skills, as required of an OpenStack subject matter expert.- I am a regular speaker on OpenStack and IBM Cloud Manager technologies at key IBM events and IBM Top Gun training sessions.- I led the design of the infrastructure architecture of an IBM OpenStack-based private cloud solution for a key New South Wales government agency.- I owned the primary design responsibilities for an IBM OpenStack production platform solution for a Managed Service Provider client.

I was the client technical architect for a designated set of IBM client accounts, responsible for infrastructure solutions in the customer enterprise. In this role, I interfaced with the key client business and IT leaders to create the business case, demonstrate the value and driving the buy-in process for the infrastructure elements of the solution. Examples include designing the infrastructure platform for SAP solutions at a major federal agency, the infrastructure platform for an aircraft maintenance solution at an international airline and the technology infrastructure for a Big Data solution for a major telecommunications provider.

As a Client IT Architect, my mandate was to provide thought leadership for strategic IBM architectures and solutions and be the trusted technical advisor to my clients for the IBM portfolio. My key accounts covered the automotive, industrial and public sectors. In this role, I was responsible for increasing IBM’s enterprise footprint over four years for the mainframe, Unix, storage and IBM software brands like WebSphere, Information Management and analytics at my assigned clients. Examples of key initiatives and projects include:- Help the client develop a strategic, actionable roadmap of IT transformation projects thatwill meet the clients stated business objectives using IBM methodologies.- Infrastructure virtualization, consolidation and workload optimization by leveraging IBM methods and tools.Examples of key projects during this time-line include the following:- Enterprise Service Bus (ESB) design and implementation, leveraging WebSphere ESB, for a major automotive manufacturer.- Enterprise Single-SignOn (SSO) solution for a major industrial conglomerate, leveraging Tivoli Identity and Access Manager technologies- Plant automation solution for an industrial sector client, leveraging IBM high-end UNIX/storage and WebSphere/DB2 technologies in a very highly available solution- Infrastructure architecture and implementation, leveraging IBM POWER systems/storage, Cisco networking, Checkpoint/Cisco firewalls and WebSphere/DB2 for the first on-line Canadian census.

I worked as a systems engineer for key Digital accounts. My responsibilities were the installation, configuration, systems assurance and maintenance of Digital hardware and operating systems (PDP-11, MicroVAX and VAX systems line) for various Digital accounts including Royal Dutch Shell and British Petroleum, among others. I was a key member of the world-wide team at Digital which had a strategic partnership with Microsoft to introduce the initial version of Windows Server to the market on the Digital Alpha CPU and Digital x86 server architectures. I was one of early Microsoft certified Systems Engineers as part of this team.