Himanshu Shukla

Key Skills

Software

OneForma

Scale AI

Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

Geospatial Tiled Imagery

Image

Text

Top Task Types

Computer Programming Coding

Evaluation Rating

Mapping

Prompt Response Writing SFT

Translation Localization

Freelancer Overview

Experienced AI Trainer and Data Annotation Specialist with over 4 years of hands-on expertise in creating high-quality training data for NLP, computer vision, and voice-based AI systems. I have managed large-scale multilingual data labeling projects—spanning text, audio, and images—with a consistent annotation accuracy above 98%. My work includes LLM evaluation, prompt validation, and model feedback for fine-tuning large language models, including GPT-like architectures. In addition to technical labeling, I bring 5+ years of translation and transcription experience in English, Hindi, and other regional languages. I’m proficient in industry tools such as Labelbox, Prodigy, CVAT, and SageMaker Ground Truth, and I’ve collaborated closely with QA and ML teams in agile environments. With a certification in Microsoft Azure (AZ-900), and strong Python/SQL scripting skills, I am well-equipped to contribute to end-to-end AI data pipelines and model training workflows.

Labeling Experience

Labeling

OneformaImageBounding Box

Worked on multiple AI training data projects on OneForma platform involving labeling, annotation, and data curation for text, audio, and image datasets. Tasks included linguistic annotation, sentence-level tagging, transcription correction, intent classification, and QA review for multilingual corpora. Ensured high accuracy and consistency in annotation according to project-specific guidelines. Actively contributed to improving data quality for training NLP and speech recognition models, including tasks involving Hindi–English language pairs and regional dialects. Maintained strong productivity and precision across hundreds of tasks while adhering to strict deadlines and quality standards.

Worked on multiple AI training data projects on OneForma platform involving labeling, annotation, and data curation for text, audio, and image datasets. Tasks included linguistic annotation, sentence-level tagging, transcription correction, intent classification, and QA review for multilingual corpora. Ensured high accuracy and consistency in annotation according to project-specific guidelines. Actively contributed to improving data quality for training NLP and speech recognition models, including tasks involving Hindi–English language pairs and regional dialects. Maintained strong productivity and precision across hundreds of tasks while adhering to strict deadlines and quality standards.

2024

Education

Work History