I am a passionate Computer Vision Engineer with hands-on experience in object detection and deep learning. My expertise lies in developing AI-driven systems and improving detection accuracy through rigorous experimentation and analysis. I enjoy learning and applying innovative technologies to real-world problems, especially in the field of applied computer vision.

Muaadh Nawshad Ali

I am a passionate Computer Vision Engineer with hands-on experience in object detection and deep learning. My expertise lies in developing AI-driven systems and improving detection accuracy through rigorous experimentation and analysis. I enjoy learning and applying innovative technologies to real-world problems, especially in the field of applied computer vision.

Available to hire

I am a passionate Computer Vision Engineer with hands-on experience in object detection and deep learning. My expertise lies in developing AI-driven systems and improving detection accuracy through rigorous experimentation and analysis. I enjoy learning and applying innovative technologies to real-world problems, especially in the field of applied computer vision.

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Experience Level

Expert
Expert
Intermediate

Language

Tamil
Fluent
English
Advanced
Sinhala, Sinhalese
Intermediate

Work Experience

Associate Data Scientist at SPECTRIFYAI
December 7, 2024 - Present
As an Associate Data Scientist at SPECTRIFYAI, I focus on annotating, validating, and refining large datasets for AI models. My work includes detailed quality checks and collaboration with ML engineers to improve AI accuracy. I have contributed to projects involving tea leaf grading and pharmaceutical packaging defect detection.
Data Scientist Intern at SPECTRIFYAI
June 6, 2024 - December 6, 2024
During my internship, I was involved in large-scale image annotation and quality checks for computer vision datasets. I applied standardized guidelines to ensure consistency and aided in evaluating dataset readiness for model training.
Computer Vision Engineer at SPECTRIFYAI
December 7, 2024 - Present
Developed and fine-tuned YOLOv8 object detection models for tea leaf grading and quality assessment. Worked with 2,000+ real-world images, performing dataset cleaning and validation. Collaborated with ML engineers to validate models for production use cases.

Education

BSc (Hons) in Computer Science with Artificial Intelligence at Coventry University (NIBM Campus, Sri Lanka)
January 1, 2021 - May 1, 2025
BSc (Hons) Computer Science with Artificial Intelligence at Coventry University (NIBM Campus, Sri Lanka)
January 11, 2030 - May 1, 2025

Qualifications

Add your qualifications or awards here.

Industry Experience

Computers & Electronics, Software & Internet, Healthcare, Agriculture & Mining

Experience Level

Expert
Expert
Intermediate

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