For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

LoginCreate account
Invite to Job
S
Sikkandar Basha

Sikkandar Basha

Data Annotation for NightVisionAI Project

India flagChennai, India
$25.00/hrIntermediateRoboflow

Key Skills

Software

RoboflowRoboflow

Top Subject Matter

Scene understanding in low-light conditions

Top Data Types

ImageImage
3D Sensor
VideoVideo

Top Task Types

ClassificationClassification

Freelancer Overview

I have hands‑on experience in AI training, particularly with large language models, where I contributed to response evaluation and refinement through the Outlier platform. This work gave me a strong understanding of how to assess model outputs for accuracy, clarity, and alignment with user intent, and sharpened my ability to provide constructive feedback that improves overall model performance. In addition, I gained practical data labeling experience during my undergraduate research, where I worked with annotation tools such as Roboflow to prepare image datasets for computer vision tasks. This involved carefully labeling and curating data to ensure consistency and quality, which taught me the importance of precision and attention to detail in building reliable training sets. Together, these experiences highlight my ability to bridge both text‑based AI training and visual data annotation, setting me apart with a versatile skill set in the AI development pipeline.

IntermediateEnglishTamil

Labeling Experience

Data Annotation for NightVisionAI Project

ImageClassification
Participated in data annotation for a deep learning model as part of the 'NightVisionAI' project. The work involved labeling image datasets to improve scene understanding in low-light conditions using YOLO. Images were systematically annotated to enhance the training data quality for object detection models. • Conducted image classification and labeling tasks tailored to specific low-light scenarios • Utilized deep learning knowledge to identify and label relevant features in each image • Ensured annotation consistency and accuracy throughout the dataset • Collaborated with a team to validate and review labeled outputs

Participated in data annotation for a deep learning model as part of the 'NightVisionAI' project. The work involved labeling image datasets to improve scene understanding in low-light conditions using YOLO. Images were systematically annotated to enhance the training data quality for object detection models. • Conducted image classification and labeling tasks tailored to specific low-light scenarios • Utilized deep learning knowledge to identify and label relevant features in each image • Ensured annotation consistency and accuracy throughout the dataset • Collaborated with a team to validate and review labeled outputs

Not specified

Education

T

Thiagarajar College of Engineering

Bachelor of Engineering, Electronics and Communication Engineering

Bachelor of Engineering
2020 - 2024

Work History

T

Tata Consultancy Services

System Engineer

Chennai
2024 - Present