Portfolio companies and projects

My Ph.D. dissertation pioneers a novel decentralized systems paradigm. It presents a radically new theoretical model for distributed computing.

For the high-tech industry, the paradigm is poised to profoundly impact smart home technology, industrial control, Blockchain, PubSub middleware, and interplanetary communication.

Led the company's technology architecture and modernization, migration to the cloud, new product development, and M&A.

Development and integration of SaaS products:

• Customer Support (mission critical)

• Chat and Workflow (mission critical)

• Customer Success

• Analytics.

The products are accessed by a global customer base and run on multi-cloud (AWS and GCP) infrastructure.

Pieces Technologies is a medical/healthcare NLP and AI company. I was one of the key executives who built it in 2016, seven years before the AI revolution of 2023.

Designed and spearheaded several companies and product migrations to the cloud. Provided customer engagement seminars and talks when the cloud was in its infancy. Some migrations started as lift-and-shift, while others were cloud native from day one. My strong experience is with AWS.

As the CIO of Corporate Express PM, I provided thought leadership, facilitated business scale-up using technology, optimized costs, and reduced time to market to shorten our sales and implementation cycle.

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We developed new systems to enable the company's growth, devised processes for frictionless customer implementations, and built hundreds of web solutions.

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The outcome was that we grew the business from lows of $20M to over $200M in 7 years, leading to the acquisition by Staples.

Changed the architecture and go-to-market of a service to transform it into a generic product. The product is Amdocs' first generic product, and others followed suit.

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In less than a year, EMS emerged as the company's most successful door opener globally. The revenue generated from EMS surpassed all expectations, growing significantly above previous years' performance.

The company designed and built the GV20, an FPGA-based Deep Packet Inspection (DPI) appliance that prevents sensitive documents and data from leaving the company in real-time. I was responsible for inventing solutions to address customers' use cases, predominantly in federal, US military defense, and banking markets.

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We then built Securio, a SaaS product that implements our hardware-based technology in an elastic cloud that grew horizontally. Securio featured continuous scanning of global corporate networks and connected devices, exposing security and intellectual property vulnerabilities. It made misplaced, duplicated, and similar documents visible. Learning from our FPGA-based algorithms, Securio had a nominal impact on performance.

I am the inventor and founding CTO of iDoor, the company that commercialized my patent. We built a consumer electronics gadget and used machine learning (ML) and pattern recognition techniques to match audio snippets to original music.

Thinking Cashier is an ISA computer expansion card that transforms a regular PC into an intelligent Point of Sale (POS).

Up2Date is a real-world clock for slotless computers.

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My father, Lior Dor, invented and designed it. I built and empirically evaluated it, authored the system driver (kernel), and commercialized it.

Built off-the-shelf consumer software that provided help with all OS commands. I authored the content. This wildly successful product became a popular (it ran for a few years) training class that People & Computers Magazine offered.

As a group of students, we wrote an AI Packman agent, but as any AI may become, it had other life plans.

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Each agent competed in online games against other agents. Every night, each agent played against all other Washington University in St. Louis agents and each of the Stanford agents. This amounts to over 200 games each night unless an agent loses.

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Our algorithm was never defeated during our semester (4 months). It was so adaptive that our agent continued to live and win games for two additional semesters. With no change to our algorithm, while all other students in both schools improved their agents daily, it was beaten only once. Nevertheless, our agent learned from that experience and was back on its winning streak after that loss.

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It may still be out there, prospecting games or building the Terminator Packman.

Designed a VLSI chip. A RISC CPU using AMI 0.6 micron technology. The silicon dimensions are 1.5 square millimeter.

Solicited the voice of customers and prospects in diverse markets and domains of practice, from medium businesses to large distribution and manufacturing plants. Conducted business analysis and authored the Visual Office (VO), an all-encompassing ERP system.

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The primary innovation was that we never built an ERP system. Instead, we built user-friendly configurators and compilers that adapted the system to the needs of each business. Everything was customizable (UI and logic) without changing a single line of code or dragging other customers' complexities into a deployment.

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It was not our original design objective. Nevertheless, this design allowed us to make the system multi-lingual when IBM won the United Nations (UN) hardware contract. We added a UI compiler to support the implementation but did not change a single line of code in the ERP logic.

Joy Chiang, Bryn Beez, Adam Kraft, and I completed the development of SNAP in April 2010, an iPhone app that enables citizen scientists to take pictures and send them to AMOS (the Archive of Many Outdoor Scenes). SNAP tags images with GPS, references to Earth's magnetic pole, and additional data and annotations by the picture taker expand AMOS reach and enable new research. Scientists can design and designate research to occur anywhere on Earth, and users can take images of these locations using SNAP. Users can subscribe to these feeds based on their expected travel and interests.

Shtil (plant in English) is a system for managing agriculture businesses. It includes data about plants, feeding and caring, and a point of sale.

Before massively parallel server farms made full-text search plausible, I researched various ways to index and store a large corpus of textual data for fast retrieval. At the culmination of the research, the apparatus returned results in sub-second time when running on a single 80286-based computer. With this technology, we built Probe, a technician management system with a searchable knowledge base.

This product started as a management system for surgery centers, including medical files and scheduling. Its novelty was the requirement to connect to all medical devices and apparatus in the clinic and optimize surgeon time.

For Corporate Express PM, I led the design and construction of a data center that served our US-based and global offices. This small center hosted our business systems, web hosting for several hundred websites, remote access to ERP data for our traveling sales agents, and global VOIP interconnect.

The company's legacy VAX VMS was hosted in the center, alongside Dell servers running Microsoft Windows servers, SQL servers, and CISCO equipment. A SONET ring, EMC storage and replication, and a disaster recovery site in Denver provided survivability.