ERP (Microsoft Dynamics-Navision) / Application Consultant in all business verticals and industries. To gain competitive edge through the usage of ERP, we conduct our consulting with the highest standards of integrity and develop a positive approach to meeting and exceeding client's expectations.Managing entire solution –Microsoft Dynamics NAV 2009, 2009 R2, 2013, 2013 R2, 2016, project operations with a view to achieve business objectives and ensure optimum utilization of available resources.Understanding business process, studying and analyzing workflow to design solutions (As-Is and To-Be Analysis and Freezing); Conducting GAP/FIT analysis & preparing Requirement Document for approval on various projects.Requirements gathering, Configuring the system, Getting customization from technical team and preparation of the necessary documents.Integration with other modules, integration testing & extending Post Go-live support, including training support to end-users.Support to Finance/Account and other Department for internal implementation and in day to day working.

Improved the core search ranking deep model, both in terms of accuracy and training speed. This is probably the world’s largest neural network in production. Proposed, designed, and implemented the initial version of an automated deep learning system, leveraging metalearning and learn-to-learn techniques. For benchmarking, designed and implemented deep models for the Criteo display advertising datasets (11GB and 1TB), achieving state-of-the-art results. Consulted with large Google Cloud Machine Learning customers to help them get up to speed with Cloud ML and TensorFlow. Implemented a data ingestion pipeline that collected 40TB of data from volunteer Android users, trained CNN and LSTM models on images and sensor data for a continuous multi-modal authentication system, and implemented the Android library that’s going into the machine intelligence layer of the new Pixel phone. Defined best practices for training large-scale models, and fixed several issues in DistBelief (precursor to TensorFlow) to make it work better for large models. Built several prototype features in a predictive assistant project that later evolved into Google Assistant.

Great time worker, enthusiastic IT professional seeking Mid-level network administrator position. Graduate of UBC & BCIT Network Administration and Security Professional Program with hands-on project experience in Windows desktop migration. Strong knowledge of IT and work processes within Technology. Experience working within teams, providing client service and working in a Education environment. seek the opportunity to grow and continuously learn within the industry as an individual and to work in a cooperative and multidisciplinary environment. I am looking for a position with an International Company where I can use my strong Interpersonal skills and goal oriented personality to contribute to It’s growth and success.I want to Increase my professional skills and reach a high level in one company to develop together and Focus on challenging projects in the area of supervision and coordination, always have a better performance for work and personal improvement.