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I’m Ezekiel Amazigo, a precision-oriented Computer Vision & ML Specialist with a background in systems safety and validation engineering. I specialize in evaluating AI-generated visual outputs, identifying model failure modes, and refining training data annotations to improve complex computer vision pipelines. I bring a safety-first mindset to model evaluation, edge-case analysis, and bias identification across diverse domains. Currently, I’m leveraging deep learning frameworks and multimodal AI to build high-fidelity news and audio applications. I collaborate with AI agents to guide model behavior, design robust evaluation strategies, and deliver production-ready solutions with minimalist UI design and solid backend persistence for scalable platforms.…I’m Ezekiel Amazigo, a precision-oriented Computer Vision & ML Specialist with a background in systems safety and validation engineering. I specialize in evaluating AI-generated visual outputs, identifying model failure modes, and refining training data annotations to improve complex computer vision pipelines. I bring a safety-first mindset to model evaluation, edge-case analysis, and bias identification across diverse domains. Currently, I’m leveraging deep learning frameworks and multimodal AI to build high-fidelity news and audio applications. I collaborate with AI agents to guide model behavior, design robust evaluation strategies, and deliver production-ready solutions with minimalist UI design and solid backend persistence for scalable platforms.

Ezekiel Amazigo

QA Engineer, Data Scientist, AI Engineer, +5

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I’m Ezekiel Amazigo, a precision-oriented Computer Vision & ML Specialist with a background in systems safety and validation engineering. I specialize in evaluating AI-generated visual outputs, identifying model failure modes, and refining training data annotations to improve complex computer vision pipelines. I bring a safety-first mindset to model evaluation, edge-case analysis, and bias identification across diverse domains. Currently, I’m leveraging deep learning frameworks and multimodal AI to build high-fidelity news and audio applications. I collaborate with AI agents to guide model behavior, design robust evaluation strategies, and deliver production-ready solutions with minimalist UI design and solid backend persistence for scalable platforms.…I’m Ezekiel Amazigo, a precision-oriented Computer Vision & ML Specialist with a background in systems safety and validation engineering. I specialize in evaluating AI-generated visual outputs, identifying model failure modes, and refining training data annotations to improve complex computer vision pipelines. I bring a safety-first mindset to model evaluation, edge-case analysis, and bias identification across diverse domains. Currently, I’m leveraging deep learning frameworks and multimodal AI to build high-fidelity news and audio applications. I collaborate with AI agents to guide model behavior, design robust evaluation strategies, and deliver production-ready solutions with minimalist UI design and solid backend persistence for scalable platforms.

Available to hire

I’m Ezekiel Amazigo, a precision-oriented Computer Vision & ML Specialist with a background in systems safety and validation engineering. I specialize in evaluating AI-generated visual outputs, identifying model failure modes, and refining training data annotations to improve complex computer vision pipelines. I bring a safety-first mindset to model evaluation, edge-case analysis, and bias identification across diverse domains.

Currently, I’m leveraging deep learning frameworks and multimodal AI to build high-fidelity news and audio applications. I collaborate with AI agents to guide model behavior, design robust evaluation strategies, and deliver production-ready solutions with minimalist UI design and solid backend persistence for scalable platforms.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

DaVinci Resolve Studio

Expert

JavaScript

Expert

Language

English

Fluent

Work Experience

Validation Engineer at Hospira/Pfizer, J&J, Catalent

January 1, 2013 - January 1, 2019

Architected rigorous testing protocols (IQ/OQ/PQ) for critical pharmaceutical systems, ensuring total traceability and system safety. Utilized audit-based thinking to identify system failure modes in highly regulated environments.

Computer Vision Generalist at Outlier

January 1, 2024 - Present

Evaluate AI-generated outputs for image recognition, object detection, and semantic segmentation to ensure visual reasoning accuracy. Assess robustness of CV model predictions, identify edge cases and biases. Create and refine high-quality training data annotations to improve CV pipelines. Write detailed technical evaluations on model behavior and output quality, suggesting concrete improvements for architecture and response accuracy. Collaborate across diverse visual domains to provide expert feedback on model alignment and engineering standards.

Lead Developer at "All My News" (Multimodal AI App)

January 1, 2024 - Present

Architected and deployed a multimodal news aggregator using Replit, integrating text, image, and audio data streams. Collaborated with AI agents to guide model behavior, focusing on visual and text-based reasoning for content discovery. Implemented a Discover section with translation options and visual data processing to boost user engagement. Managed end-to-end lifecycle with minimalist UI and robust backend persistence.

Lead Developer at Studio DAW & Physics Tutor Hub

January 1, 2024 - Present

Developed a browser-based Digital Audio Workstation featuring an AI-integrated 'Hum a Melody' interface. Managed real-time hardware-software interaction and ensured low-latency audio processing. Built logic-based response systems for STEM education tools, delivering structured curriculum content.