Resume

EDUCATION

• Thesis on Value Rational Action Planning and Sequential Decision Making in Artificial Intelligence and Economic Systems, supervised by Professor Tshilidzi Marwala (Vice-Chancellor and Principal of the University of Johannesburg)
• Department of Electrical and Electronic Engineering Technology

• Specialized in advanced data science methods, Artificial Intelligence (AI) and Autonomous Systems, Machine Learning and Online Optimization, Natural Language Processing (NLP), Information Retrieval (IR), Algorithms in Logic and Networks Protocols
• Research in Artificial Intelligence (AI) automated planning algorithms, sequential decision-making process optimization
• Thesis on Planning and Decision Making in Oversubscription Systems with General Utility Functions
• Recipient of merit-based extended scholarship

• Majored in Information Systems Engineering
• Placed on dean’s list four consecutive years
• Developed a cloud-based procurement system in Google Apps for a non-profit organization

• Majored in Finance

EXPERIENCE

• Research on sequential decision-making processes and automated action planning in Artificial Intelligence (AI) and economic systems, strategic/tactical planning and reasoning in systems with negative and general multi-attribute utility functions under budget restrictions
• Machine learning and inference of structural properties for modeling and optimization in domain-independent AI problem-solving

• Research in AI computational and modeling problems in tasks of automated reasoning and sequential action planning, with an emphasis on the Oversubscription Planning (OSP) via heuristic search, combinatorial optimization, optimal\satisficing state-space heuristics and approximations. Findings cover both practical and theoretical aspects
• Implemented AI planning systems prototypes with C++ and Python

• Guided and mentored multidisciplinary engineering teams of students in the high tech entrepreneurial process, from ideas formulation of new technology, through the preparation of a business plan and executive summary for commercialization. The course is accompanied by the Beronica Entrepreneurship Center (BEC) of the Technion
• Designed and delivered lectures on different course topics
• Administered and organized the ongoing course activities

• Researched and analyzed needs and product functionality required from the internal Manufacturing System (MES), and from the internal ERP system (Infor LN ERP) in logistics, Material Requirements Planning (MRP), procurement, quality and service-related processes
• Developed MES modules with C# .NET and ERP modules with Infor LN ERP development tools, embedded SQL and Oracle Database
• Implemented newly developed modules into existing working facilities across various production sites, factories, and warehouses, and tutored the users across the organization on the new modules
• Executed the logistics and planning aspects of a cross-organizational project to implement a new ERP system
• Led the implementation of a new MES system in one of Elbit’s largest divisions (Unmanned Aerial Vehicle) as a unique point of contact familiar with both the MES system and the ERP system
• Sourced and led the implementation of a new development environment within the Organization ERP development team, creating new development standards, saving development time, increasing efficiency and significantly reducing errors in the development process

• Trained senior IDF officials through the first time and ongoing use with a combat simulation software
• Operated independently as Rafael’s representative in the field, guided and supported simulated military maneuvers and tactical planning

• Provided customers with information on various investment products, pension saving plans, and regulatory implications
• Managed ongoing customer relationships

• Honorable discharge as Sergeant due to injury during service

PUBLICATIONS

• “Value Driven Landmarks for Oversubscription Planning”, in ICAPS 2018, The 28th International Conference on Automated Planning and Scheduling
• “Frontier Search and Plan Reconstruction in Oversubscription Planning” in AAAI 2019, The Thirty-Third AAAI Conference on Artificial Intelligence
• “Relative Net Utility and the Saint Petersburg Paradox”,  in arXiv preprint
• “Automated Tactical Decision Planning Model with Strategic Values Guidance for Local Action-Value Ambiguity”, in arXiv preprint
• “Economics of Human-AI Ecosystem: Value Bias and Lost Utility in Multi-Dimensional Gaps”, in arXiv preprint

ADDITIONAL

• Fluent in Hebrew, English, and Russian; Conversant in Spanish
• Experienced in developing with C++, Python,  C# .NET, Embedded SQL, Java, JavaScript
• Graduated from the IDF Junior Command Preparatory School