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Mohammed Niyas

Mohammed Niyas

Full Stack Developer - E-commerce & Mobile Applications

INDIA flag
Palakkad, India
$15.00/hrIntermediateOther

Key Skills

Software

Other

Top Subject Matter

No subject matter listed

Top Data Types

AudioAudio
ImageImage
TextText
VideoVideo

Top Label Types

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Freelancer Overview

I have hands-on experience in data annotation and labeling across multiple data types, including text, image, audio, and video, ensuring high accuracy and consistency in line with detailed project guidelines. My background includes performing rigorous quality assurance checks, maintaining data confidentiality, and working with large-scale datasets for AI training and validation. In addition to my annotation expertise, I have contributed to full-stack development projects, which has given me a strong understanding of how labeled data powers real-world applications, such as e-commerce platforms and mobile apps. My technical skills include working with tools and technologies like React, Next.js, Node.js, and RESTful APIs, and I am adept at collaborating with cross-functional teams to deliver high-quality, reliable results for data-driven projects.

IntermediateEnglish

Labeling Experience

Autonomous Vehicle Computer Vision Data Annotation Experience

OtherVideoBounding Box
I have worked on autonomous vehicle computer vision datasets, generating high-quality ground truth data for object detection and scene understanding models. My work included fine-grained labeling of vehicle lighting states such as brake lights, turn indicators, and headlights, along with environmental lighting like street lights and signal lights. I annotated traffic signs, road symbols, and lane-related information to support traffic recognition systems. I also performed precise bounding box annotation for construction zones and roadside objects, ensuring tight box alignment and class consistency. All annotations were completed following strict guidelines with careful handling of edge cases such as occlusion, low visibility, and night-time conditions.

I have worked on autonomous vehicle computer vision datasets, generating high-quality ground truth data for object detection and scene understanding models. My work included fine-grained labeling of vehicle lighting states such as brake lights, turn indicators, and headlights, along with environmental lighting like street lights and signal lights. I annotated traffic signs, road symbols, and lane-related information to support traffic recognition systems. I also performed precise bounding box annotation for construction zones and roadside objects, ensuring tight box alignment and class consistency. All annotations were completed following strict guidelines with careful handling of edge cases such as occlusion, low visibility, and night-time conditions.

2021 - 2022

Education

K

Kerala Technological University

Bachelor of Engineering, Electronics and Communication

Bachelor of Engineering
2015 - 2019

Work History

S

SmartRabbitz Innovations Pvt Ltd

Flutter Developer

Remote
2023 - 2024
S

Skyniche IBSS

Full Stack Developer

Palakkad
2023 - 2023