Dan Ben Ami

Computer Vision & Deep Learning Researcher

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About Me

AI researcher specializing in deep learning and computer vision, where mathematics meets practical innovation.

I combine technical expertise with creative problem-solving to develop intelligent solutions.

Work Experience

Elop - Computer Vision & AI Algorithm Developer

2022 - Present

  • Performed a diverse range of computer vision tasks and developed a deep understanding of various state-of-the-art (SOTA) models and architectures.
  • Received project requirements and system constraints, then designed, optimized, and integrated custom algorithmic pipelines into larger systems.
  • Conducted extensive literature reviews—evaluating over 30 research papers annually on customized data with numerical performance metrics.

Multi-Object (Multi-Sensor) Tracking

  • Developed a tracking solution that increased precision from 72% (naive off-the-shelf pipeline) to 97% using a customized pipeline.
  • Integrated an ensemble of video classification models focused on reducing false alarm rates.
  • Implemented a three-sensor tracking system (RGB, SWIR, MWIR) to ensure robust performance across different imaging modalities.

Video Description: Visualization of simple basic off-the-shelf multi-object tracking in RGB (Vis) sensor without the full pipeline (Due to IP and confidentiality).

Zero-Shot Keypoint Tracking

  • Explored zero-shot tracking for keypoints in infrared videos characterized by extreme noise conditions.
  • Utilized simulative data generated with UE5 specifically for testing under high interference scenarios.
  • Rigorously evaluated SOTA models to determine limitations and ensure their suitability under adverse conditions.

Video Description: Visualization of tracking keypoints on a passenger airplane from standart RGB (no noise) video (Due to IP and confidentiality).

Video Restoration and Super Resolution

  • Investigated and compared multiple SOTA models, including a self-designed architecture and a self-trained model.
  • Applied knowledge distillation from a FeMaSR teacher model to optimize the chosen architecture.
  • Achieved performance improvements of 5–20% over classical methods, as measured by metrics such as MTF, SSIM, and ESF.

Video Description: Demonstration of video restoration and super-resolution improvements, showcasing turbulence mitigation.

Video Classification for False Target Filtering

  • Designed a comprehensive data management infrastructure for experimental model training and evaluation.
  • Developed tools for dynamic data integration, version management, attribute-based filtering, and complex augmentations (e.g., smart copy-paste and 3D rotations relative to the camera plane).
  • Conducted hundreds of training experiments across both lightweight and heavy SOTA architectures, rigorously evaluating each component (data version, augmentations, architecture, transfer learning, etc.).
  • Increased overall accuracy by 22%.

Video Description: Example of false target filtering using video classification models, illustrating data augmentation techniques.

Company B - Position Title

Jun 2018 - Dec 2019

Brief description of your role and projects at Company B.

Project B1

Description: Led a cross-functional team to ...

Additional details: Achieved significant improvements in ...

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Project B2

Description: Developed an innovative solution for ...

Additional details: This project involved multiple phases including ...

Academic Experience & Publications

University X - Research Assistant

Sep 2016 - May 2018

Description: Assisted with advanced research on ...

Publication 1

Title: "Innovative Research in AI"

Description: Summarizes key findings and methodologies ...

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Publication 2

Title: "Advanced Techniques in Machine Learning"

Description: Overview of experiments and results ...

University Y - Graduate Student

Sep 2014 - May 2016

Description: Focused on research projects and academic studies in ...

Thesis Project

Title: "Optimizing Neural Networks"

Description: In-depth exploration of optimization methods ...

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Conference Presentation

Title: "Emerging Trends in AI"

Description: Presentation of research findings and methodologies ...

Notable Projects

Project X

Description: A groundbreaking project leveraging emerging technologies to ...

Detail 1

Overview: Technical specifications and outcomes ...

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Detail 2

Overview: Further insights into the development process ...

Project Y

Description: An innovative solution designed to enhance efficiency ...

Detail 1

Overview: Summary of key features and impact ...

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Detail 2

Overview: Additional details on the technical implementation ...

Awards

Award 1: Description of the award, awarding organization, and date.

Award 2: Description of the award, awarding organization, and date.

Soft Skills

  • Effective Communication
  • Team Collaboration
  • Leadership
  • Problem Solving

Example 1: Demonstrated strong teamwork and communication in challenging projects.

Example 2: Proven leadership skills in managing multi-disciplinary teams.

Programming Languages & Libraries

  • Python (TensorFlow, PyTorch, etc.)
  • JavaScript (React, Vue, etc.)
  • Java
  • C++

Example 1: Extensive experience in Python with deep learning frameworks.

Example 2: Proficient in JavaScript and modern front-end development.

Contact Information

Email: your.email@example.com

Phone: +1234567890

LinkedIn: yourprofile