Ron Begleiter Email & Phone Number

Israel

Building enterprise-grade text-to-SQL solutions to unlock the power of complex data lakes. Focusing on algorithmic innovations in table representation learning, semantic embedding, and knowledge extraction to deliver actionable insights from data.

Developing and implementing new algorithms to accelerate the performance of generative-AI deep neural networks (DNNs). Working on various projects, including improving the performance of transformer-based architectures for vision and large-language models, LLMs.

I developed vector similarity search algorithmic solutions, including working on advanced features of the company's proprietary similarity search indexing algorithm. Defined and implemented start to finish: - a state-of-the-art low-latency metadata filtering solution, including a query language supporting logical and range queries over keyword and.

Part of the core research team. Served as the group's chief data scientist. Driving innovative solutions for the smart-mobility domain. Design and implementation of Machine Learning models over (near) realtime data-streams, selective-learning over sensor data (multivariate time series), user profiling, etc. Working with challenging (multi) sensor data.

Being part of the foundation team. Researching non-temporal time-series, financial risk and online prediction related problems. Participating in designing and implementing the core research and operational engineering infrastructure. * During my last year in Jether, I was working part time (in parallel with "point.ai")

Point.ai was an interactive-search entrepreneurship ready for the chat/voice-enabled-devices era. The core technology is based on my deep knowledge in active-machine-learning and preference-based learning domains. I had full responsibility on the algorithmic, and engineering (including architecture design and implementation) solutions. Point was not a.

Lead the research of cyber security platform which was developed from scratch. Drove innovative POCs.Hands on, full cycle development of highly scalable big data solutions.Academic research (published in the IEEE BigData conference).

Researched, developed, and applied start to end machine learning algorithms.Produced production grade solutions for a big-data environment (in terms of volume and velocity).

Doctor Of Philosophy (Phd), Computer Science :: Machine Learning :: Active Learning

Education record