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Aditya Vishwakarma

Aditya Vishwakarma

Image Dataset Labeler for Orange Disease Detection AI Project

India flaggreater noida, India
$19.00/hrIntermediateAppenData Annotation Tech

Key Skills

Software

AppenAppen
Data Annotation TechData Annotation Tech

Top Subject Matter

Plant Disease Detection (Agriculture)

Top Data Types

ImageImage
VideoVideo
Computer Code ProgrammingComputer Code Programming

Top Task Types

ClassificationClassification
Computer Programming/CodingComputer Programming/Coding
RLHFRLHF

Freelancer Overview

Image Dataset Labeler for Orange Disease Detection AI Project. Core strengths include OpenCV, Machine Learning, TensorFlow and deep learning. Education includes Bachelor of Technology, Galgotias College Of Engineering And Technology (2022) and Indian School Certificate, Little Flower School, Gorakhpur (2021). AI-training focus includes data types such as Image and labeling workflows including Classification.

IntermediateEnglishHindi

Labeling Experience

LLM post training intern

ImageObject Detection
I worked as a LLM trainer mainly focusing on data annotation and response evaluation to improve a LLMs performance. I also worked on concepts such as reinforcement learning from human feedback (RLHF) and retrieval augmented generation (RAG).

I worked as a LLM trainer mainly focusing on data annotation and response evaluation to improve a LLMs performance. I also worked on concepts such as reinforcement learning from human feedback (RLHF) and retrieval augmented generation (RAG).

2025 - Present

Image Dataset Labeler for Orange Disease Detection AI Project

ImageClassification
Curated and labeled an image dataset of citrus leaves for an AI-based orange disease detection system. Cleansed and balanced the dataset, and performed data preprocessing and augmentation to improve model accuracy. Created class labels for multiple disease types in preparation for supervised ML training. • Curated images of citrus leaves depicting healthy and diseased conditions • Labeled images into multi-class categories • Used OpenCV and Python for labeling and preprocessing • Ensured balanced class representation for robust model training

Curated and labeled an image dataset of citrus leaves for an AI-based orange disease detection system. Cleansed and balanced the dataset, and performed data preprocessing and augmentation to improve model accuracy. Created class labels for multiple disease types in preparation for supervised ML training. • Curated images of citrus leaves depicting healthy and diseased conditions • Labeled images into multi-class categories • Used OpenCV and Python for labeling and preprocessing • Ensured balanced class representation for robust model training

2025 - 2025

Education

L

Little Flower School, Gorakhpur

Indian School Certificate, General Studies

Indian School Certificate
2021 - 2021
L

Little Flower School, Gorakhpur

Indian Certificate of Secondary Education, General Studies

Indian Certificate of Secondary Education
2019 - 2019

Work History

E

EtharaAI

LLM Post Training Intern

Greater Noida
2026 - Present