Pablo Sandler, Ph.D.

Data Scientist, Founder @ Nogah Tecnologia

About

AI researcher, entrepreneur, and Founder of Nogah Tecnologia, developing production-ready AI systems that solve complex real-world challenges.My work combines Computer Vision, Artificial Intelligence, Machine Learning, Large Language Models (LLMs), Data Science, and advanced mathematical modeling to build intelligent systems capable of operating autonomously in real environments. While my primary focus today is AI-powered industrial inspection and smart manufacturing, my experience also includes forecasting, financial modeling, optimization, scientific computing, and custom AI solutions.I believe AI creates its greatest value when it moves beyond analysis to become an active component of operational decision-making. My goal is to build systems that not only generate insights, but continuously monitor, inspect, predict, and support decisions within real production environments.Areas of Expertise• Industrial AI & Computer Vision – Intelligent inspection, quality control, PLC integration, industrial automation, and real-time traceability.• Large Language Models (LLMs) – Knowledge extraction, predictive analytics, intelligent automation, and decision support.• Predictive Analytics & Time-Series Modeling – Forecasting using machine learning, statistical methods, and temporal feature extraction.• Advanced Computer Vision – Object detection, multimodal AI, temporal video analysis, and synthetic data generation.• Quantum-Inspired Modeling – Mathematical approaches for optimization, forecasting, and complex system analysis.Founder – Nogah TecnologiaLeading the development of AI-powered industrial inspection systems integrating computer vision, automation, quality analytics, and real-time traceability, while also delivering custom AI solutions for complex analytical and operational challenges.Current projects include:• Autonomous AI inspection systems operating continuously in industrial production.• Computer vision platforms integrating traceability, quality analytics, and industrial automation.• Proprietary Stable Diffusion + LLM platform for large-scale synthetic defect generation to train specialized inspection models.• Research on temporal AI architectures leveraging sequential video frames to improve detection accuracy while reducing computational cost.My mission is to bridge cutting-edge AI research with practical engineering, building reliable, scalable, production-ready AI systems that create measurable value across industries.I build AI that doesn't simply generate insights—it operates, monitors, and makes decisions in the real world.

Country

Brazil

City

Joinville

Industry

Computer Software

Skill

Large Language Models (LLM), Generative Adversarial Networks (GANs), Generative AI, Amazon Web Services (AWS), TensorFlow, Reinforcement Learning, PyTorch, Forecasting, Python (Programming Language), Data Science, Quantum Computing, Quantum Programming, Parallel Computing, Parallel Programming, Parallel Algorithms, Graphics Processing Unit, Deep Learning, Machine Learning, HDF5, C (Programming Language)

Experience

Data Scientist, Founder

Nogah Tecnologia

2013-9 - Present · 13 yrs 1 mo

Joinville, Santa Catarina, Brazil

I specialize in Building software applications to extract knowledge from big data using extensive Data Science know-how and experience. I use state of the art Quantum Mechanical methods and deep learning models to measure, analyze, extract knowledge and forecast full uncertainty range of relevant indicators. This allows me to provide meaningful insights into complex datasets that would otherwise be difficult or impossible for traditional analysis techniques. My approach is based on an understanding that data science can offer a unique perspective when it comes to making decisions about how best utilize large amounts of information available today. By utilizing the latest technologies such as quantum mechanics and deep learning models I am able create algorithms capable of extracting valuable insights from vast databases without requiring manual intervention or expensive hardware components. Additionally my work also offers greater accuracy than traditional statistical approaches due its ability accurately capture nuances within a dataset through a wave-function representation of data in time.

Chief Technology Officer & Data Scientist

Mission Road Sound

2020-9 - 2023-4 · 2 yrs 8 mos

Los Angeles, California, United States

Built data collection software in order to collect Music streaming data used for forecasting trends and selecting investment opportunities. Applied Nogah FinModeling forecasting software, based on Quantum Mechanical Wave Function models, running on collected Music streaming database. Generated music assets lists with high probability of becoming big hits while at the same time keeping risk at acceptable levels. Generative in-content Deep Learning modeling of sound and music data.

Investments Director

M Abuhab Participacoes

2007-2 - 2013-8 · 6 yrs 7 mos

Investment management, direct and indirectly, of financial and Real State assets of group. Active participation on Merge and Acquisitions that consolidated group in Brazil and abroad.