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MORTOZA MOSTAKIM RAFI

@mortozamostakimrafi

Motivated data annotation and customer support professional focused on reliable service.

Bangladesh
Message

What I'm looking for

I’m looking for a role in data annotation where I can deliver high-quality labels and improve AI output safety and quality. I also want a customer-support environment where my communication and reliability help customers feel supported.

I’m a motivated and detail-oriented professional seeking a position in customer support or data annotation. I bring strong communications skills, hands-on experience in AI data labeling, and a proven ability to deliver reliable, customer-focused service.

In my DataAnnotation role (Nov2025–Present), I perform high-quality data labeling for AI datasets, including image annotation, text categorization, and sentiment analysis. I evaluate and improve AI-generated responses to meet quality and safety standards.

I also contribute by helping train and improve machine learning models through accurate data input. I collaborate on testing workflows to refine the annotation process and strengthen model output quality.

Previously, as an Uber Driver (Apr2023–2024), I delivered safe, punctual, and customer-focused transportation services. I maintained high customer satisfaction through professional communication, managed time efficiently, and ensured vehicle cleanliness and basic maintenance.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

IC

IBN Taimiyah School & College

Higher Secondary Certificate, Higher Secondary Education

Grade: 3.83 GPA

Earned the Higher Secondary Certificate (HSC) with a GPA of 3.83 in May 2023.

IC

IBN Taimiyah School & College

Secondary School Certificate, Secondary Education

Grade: 4.67 GPA

Earned the Secondary School Certificate (SSC) with a GPA of 4.67 in November 2021.

AP

AI Model Data Optimization Project

Independent Project, Artificial Intelligence / Machine Learning

Worked on an AI model data optimization project (winter 2026), improving model performance through accurate data annotation and validation and analyzing test feedback to enhance output quality.

Tech stack

Software and tools used professionally

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