About me

Results-driven Algorithm Engineer and AI Researcher with a strong mathematical foundation (M.Sc. in Applied Mathematics, graduated B.Sc. with distinction at age 19) and over 8 years of experience.

Proven track record of bridging the gap between cutting-edge research and production, specializing in generative AI (diffusion models, VAEs), computer vision, and classical optimization. Adept at designing, optimizing, and deploying high-performance, real-time algorithms from scratch to production-grade deployment (TensorRT/ONNX).

Primary Focus

  • AI icon

    Generative AI

    VAE and diffusion models for human mesh generation and distribution modeling.

  • CV icon

    Computer Vision

    SLAM, 3D reconstruction, and high-performance real-time algorithm deployment.

Resume

Experience

  1. AI Researcher — Bladerunner Labs Ltd.

    2025 — 2026 (Ramat-Gan, Israel)
    • Developed and deployed a VAE model of human meshes.
    • Developed a diffusion model for generating human meshes in various poses.
    • Maintained a normalizing flow model for converting between different distributions.
    • Converted a SAM3 model to ONNX & TensorRT for deployment and integrated it to production.
    Deep SMPL Variational Autoencoder Architecture

  2. Computer Vision Engineer — CyberBee

    2023 — 2023 (Rosh-Haayin, Israel)
    • Developed Visual Positioning System (VPS) algorithms for autonomous drone navigation in GPS-denied environments.
    • Researched and implemented SLAM and Visual-Inertial Odometry (VIO) techniques.

  3. Algorithm Engineer — RTC-Vision Ltd.

    2021 — 2022 (Rosh-Haayin, Israel)
    • Developed and delivered classical and deep-learning based solutions for 3D tomographic reconstruction, defect-detection, localization.
    • Successfully performed POCs for multiple customers.
    Spine CT procedure analysis

  4. Algorithm Developer — IDF Navy

    2014 — 2019 (Israel)
    • Developed and delivered real-time algorithms for marine defense-systems, currently installed on IDF navy vessels.
    • Solving problems such as defense tactics optimization, motion estimation & planning, tasks & resources scheduling etc.
    Naval navigation algorithm

Education

  1. M.Sc. in Applied Mathematics — Tel-Aviv University

    2017 — 2023

    Conducted research for a master’s thesis, developing a novel 3D-reconstruction technique using Cryo-EM images of dihedral-symmetric molecules, with angular error of less than 1 degree.

    Reconstruction from Cryo-EM images

  2. B.Sc. in Applied Mathematics — Bar-Ilan University

    2011 — 2014

    Graduated at age of 19 years old.

Certificates

  1. Generative AI Applications

    School of AI & DT (10-11.2023) — Online-Course

  2. Adversarial-Learning Course

    Y-DATA (Yandex) (05-07.2021) — Online-Course

  3. Advanced Time-Series Course

    Y-DATA (Yandex) (02-04.2021) — Online-Course

  4. Machine-Learning

    Stanford University (Coursera) (09-12.2017) — Online-Course

Technical Stack

Languages

Python C++ CUDA

Frameworks & Libraries

PyTorch TensorRT OpenCV Scikit-Learn ONNX

Domains

Generative AI 3D Reconstruction SLAM Object Detection