avishai111

Data Scientist

https://talent.gravityer.com/avishai111

I am a Machine Learning and Deep Learning Researcher.

Member since June 27, 2026

Key Strengths

Strong foundational experience in Python for data science and machine learning, particularly in audio processing and deepfake detection.
Demonstrated ability to implement and evaluate advanced machine learning models (e.g., One-Class Learning, Adaptive Centroid Shift Loss).
Experience with performance optimization and deployment related tasks (e.g., converting .pt to .onnx to .engine, Cuda, C++ for performance).
Active engagement in personal projects, indicating self-motivation and continuous learning.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are heavily focused on audio deepfake detection and related machine learning research, which aligns well with a specialized data scientist role in that domain. The breadth of projects, while deep in a specific area, shows less diversity in application domains or technologies outside of Python and ML/DL frameworks. This suggests a strong fit for roles requiring deep expertise in their demonstrated area, but potentially less adaptability for broader data science challenges.

Soft Skills & Operational Fit

The provided data does not contain information to assess soft skills or operational fit. Project descriptions are brief and do not offer insights into collaboration, problem-solving approaches, or communication style.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Spoofing-Robust-Speaker-Verification-Based-on-Time-Domain-Embedding

May 16, 2026 – Present

Spoofing-Robust-Speaker-Verification-Based-on-Time-Domain-Embedding — GitHub repository

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daily-location-status

March 11, 2026 – Present

daily-location-status — GitHub repository

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shotgate

March 2, 2026 – Present

PySceneDetect-based shot/scene detection pipeline with YAML configuration, a pre-DB QC gate, CSV/JSON outputs, and optional scene-start image export.

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model-opt

February 9, 2026 – Present

Converting .pt to .onnx to .engine

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SSL_Anti-spoofing_ASVspoof5

November 18, 2025 – November 23, 2025

use this github:

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ShaulNet

May 30, 2025 – June 23, 2025

My implementation for Robo-Shual Challenge

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ASVspoof2019-vs-ASVspoof5-Assessment-and-Comparison

May 23, 2025 – Present

The offical implemention of "ASVspoof2019 vs. ASVspoof5: Assessment and Comparison" paper.

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Evaluation-Measures-Audio-Deepfake-Detection

March 25, 2025 – May 24, 2025

Evaluation-Measures-Audio-Deepfake-Detection — GitHub repository

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Loss-Functions-Audio-Deepfake-Detection

March 18, 2025 – May 24, 2025

Loss-Functions-Audio-Deepfake-Detection — GitHub repository

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One-Class-Learning-with-Adaptive-Centroid-Shift-for-Audio-Deepfake-Detection

March 15, 2025 – September 13, 2025

This repository provides an implementation of the Adaptive Centroid Shift Loss (AOCloss) method for Audio Deepfake Detection, as described in the paper.

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Key Strengths

Strong foundational experience in Python for data science and machine learning, particularly in audio processing and deepfake detection.
Demonstrated ability to implement and evaluate advanced machine learning models (e.g., One-Class Learning, Adaptive Centroid Shift Loss).
Experience with performance optimization and deployment related tasks (e.g., converting .pt to .onnx to .engine, Cuda, C++ for performance).
Active engagement in personal projects, indicating self-motivation and continuous learning.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

avishai111

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit