Security- Incident Detection and Response, Threat Intelligence.Blockchain- Institutional DeFi, Crypto Exchanges. AI - Geometric ML, Topological Anomaly Detection.Well funded by top Cyber VC.

Cyber Club London s a community of cybersecurity executives and experts, working together to sponsor and nurture the next generation of cybersecurity ventures.focusing on early-stage (Seed/ Series A) start-ups and innovation, access to private investment opportunities, and leveraging domain expertise and connections to assess and contribute to the success of cybersecurity ventures.

DSG IN A NUTSHELL We help companies analyze, monitor and harness sustainable AI models to drive innovation and generate the most value from the gems in their data.

Our focus Reliability begins with qualified material. By employing component level deep leaning based visual inspection and analytics, new levels of reliability and security are reached

Managing 4 development centers of excellence (AI, Big Data, Mobile, and Enterprise solutions) and SW System solutions group (Architecture, QA, DevOps, Performance,..) . ~290 ultra-talented engineers and super skilled SW/AI managers. Our goal for 2025 is to monitor 40 million bearings compared to 4 million today. This means that our organization will need to install, commission, analyze and report on millions of assets and manage hundreds of millions of measurements. Our task within software development is to make it happen with relevant connected solutions.This can be achieved by consolidating the skills and expertise closer together. Therefore we conducted a major metamorphosis to consolidate and converge our efforts into 4 centers of excellence: AI, Big Data, Mobile, and enterprise solutions.

SKF AI (Previously Presenso) is a company part of the SKF group. Responsible for effective planning, delegating, coordinating, staffing, organizing, and decision making to attain desirable results for SKF organization. Managing the overall operations and resources of the Israeli company (SKF AI - SKF Group subsidiary)- Legal, financial, talent management etc. The site grew from 6 to 70 employees developing multiple projects for SKF . Also responsible for technology scouting in the Israeli eco-system, with the intent of bringing innovative Israeli technologies into SKF through partnering or M&A.

Responsible for 4 SW development centers (Americas, India, Sweden [Luleå, Gothenburg]) and AI center of excellence (Israel).200 R&D engineers.Our mission is to crack how we can develop SKF's connected technologies *effectively* (Enterprise software, mobile Apps, Data Analysis hubs, and advanced cloud-based AI services). Namely, to create a fusion between many IIoT technologies in a harmonious, complementary, and synergistic way!

Leading SKF's AI Center of Excellence (75 Engineers/ Tech leads/ Department Managers). Our Goal -> World #1 Industrial AI center!SKF is the world's largest bearing manufacturer and employs 45,000 people across 130 countries.The AI center missions are:1. Promote a strategic Data Science roadmap & vision across SKF organizations2. Lead Strategic automated machine learning and advanced analytics applications and initiatives 3. Identify new ML/AI solutions and features under large scale production system requirements4. Build, lead and manage engineering groups of local/global data scientists and data engineers5. Act as a domain expert and thought leader both internally and externally6. Provide guidance/review/mentoring of architectures and requirements related to ML and advanced analytics7. Lead & manage the development life cycle of the main ML and advanced analytics functions: a. Research, Development, and engineering. b. Data Science/AI c. QA/operational research. d. DevOps/IT/Cloud e. Professional Services/Application/support to AI solutions8. Align the ML and advanced analytics functions with the central SKF areas related to: a. Cybersecurity and architecture. b. CX/UX

Managed all Product, AI, SW, Engineering, and professional services efforts.When building machine learning capabilities for B2B industrial products, data scientists usually focus on a handful of well-understood use cases and datasets. In contrast, the diversity of the data and use cases in the manufacturing world makes machine learning a whole other challenge for industrial enterprise products. At Presenso, our customers are looking to detect and predict failures across many machine sectors and types. This means that we have to build machine sector-specific ML models for any given use case!The only way to achieve this without hiring an army of data scientists is through machine learning automation. Auto-ML Pipeline means: Automated Data preprocessing=> Automated indicative Feature Generation, Selection, Validation=> Autonomous Model selection, training, testing =>Automatic hyperparameter Optimization.

 Lead the R&D, Data Science, SW Infrastructure, Frontend, QA, DevOps, Product and Professional Services teams ( 25 engineers in total ) . - Specifically promote our vision of "Automatic Machine Learning Pipeline": an on-going effort to create a product that is completely automated without the need for an expert in the loop. -Approach of using Bayesian optimization to automatically customize the optimal big data processing and unsupervised deep learning models to the appropriate industrial IOT analytics task. The Presenso solution uses advanced Artificial Intelligence to provide real-time asset failure predictions based on monitoring sensors’ signal data in the cloud. -With its proprietary adaptive algorithms, Presenso can analyze sensor behavior, automatically learn how machines behave and use this learning to predict machine failures before they occur.

 Software and Algorithm developemt ("Hands On") Product Leader - SW Development (Windows, UNIX), Design and Documentation of complex Real Time autonomic systems (Cooperative multi vehicle). Provide solutions to Artificial intelligence and Machine Learning challenges (NLP, Energy..) Initiating Proof Of Concepts and developing fast prototypes using Big Data technologies (Cloud ,NoSql, Spark..). Responsible for delivering versions to the client.● Responsible for mentoring and code reviews for developers

 Research & Development for Planning and control of multi Agent Tasks (Cooperative) using Machine Learning, Matching, Scheduling and Matrix/Graph Algorithms (include heuristics for NP hard problems). Optimizations development using Matlab and implementation in C / C# / C++ including multithreading and communication protocols- Client and Server sides. Strong Dev Coding & Debugging  Problem analysis & SW Design capabilities. Algorithms Validation using Operations research and system simulations. 3 excellence awards and 2 Certificates of Appreciation.

Rafael develops and manufactures advanced defense systems for the Israeli Defense Forces and the defense establishment, as well as for foreign customers around the world. The company offers its customers a diversified array of innovative solutions at the leading edge of global technology, from underwater systems through naval, ground, and air superiority systems to space systems.Rafael is one of Israel's largest defense companies, with 2016 net profit of $123 million and record-high orders totaling $2.8 billion.I developed backend and frontend in various technologies, by coping with special challenges where no off-the-shelf solutions were applicable. in addition, I developed distributed and multithreaded software infrastructure for analysis and missile simulations.

 AppOcalypse has developed the capability to automatically understand what each app in the app stores is doing – what is its most basic functionality and build user model according to the user smartphone engagment.  Once having this knowledge, AppOcalypse recommend the right app to the user in the right context (Location, Situation ,Association Pattern..) and able to automatically sort the app mess into a one-screen, intuitive, dynamic and easy-to-find UI. Responsible for the development and integration of technologies and machin learning algorithms (collaborative filtering ,ensemble of classifiers..) within the product (e.g. Elastic Search (NoSql),Vowpal Wabbit, MySQL, Weka, LIBSVM, NLTK, Mahout, SPSS...)

 Excellence diploma in Infantry Officers Course  Certificate of Excellence -An outstanding combat soldier in an advanced training track