Dan B.

Co-Founder

Tel Aviv, Israel7 yrs 3 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Co-founder of innovative AI-driven fashion platform.
  • Expert in deep learning and computer vision applications.
  • Led diverse machine learning projects across industries.
Stackforce AI infers this person is a SaaS-focused AI and machine learning expert with a strong emphasis on visual content.

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Skills

Other Skills

Computer VisionData ScienceDeep LearningMachine LearningPyTorchPythonResearchTensorFlow

About

Currently building FASHN, guided by the belief that AI can transform how fashion imagery is created, showcased, and experienced. We're making visual content more accessible and high-quality photography effortless for everyone in the fashion industry.

Experience

Fashn

Co-Founder

Aug 2023Present · 2 yrs 7 mos · London, England, United Kingdom

Deci ai

Deep Learning Engineer

Aug 2022Aug 2023 · 1 yr · Tel Aviv, Israel

  • Collaborated closely with customers to implement Deci AI's Neural Architecture Search solution, tailoring it to their specific use-cases.

Razor labs

4 roles

Technical Product Manager

Dec 2021Aug 2022 · 8 mos

  • Worked on a data-driven condition monitoring product for industrial machines.

System Engineer

Mar 2021Dec 2021 · 9 mos

  • Managed large-scale (100+ requirements), long-term (1+ years), multi-disciplinary projects. Notable projects: Self-checkout vision system for non-barcoded items; Visual inspection system for ammunition manufacturing.

Machine Learning Team Lead

Promoted

May 2020Mar 2021 · 10 mos

  • Managed a team of 3 algo engineers; still remained hands-on. Project domains were highly diverse: computer vision, reinforcement learning, geospatial clustering and more.

Deep Learning Engineer

Dec 2018May 2020 · 1 yr 5 mos

  • R&D of neural networks for image anomaly detection. Implemented complex AE- and GAN-based architectures from scratch in TensorFlow.

Education

Tel Aviv University

B.Sc in Chemistry | B.Sc Material Engineering (Incomplete)

Jan 2015Jan 2018

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