Mohammed Saqhib Bilal

Key Skills

Software

Remotasks

Scale AI

Top Subject Matter

Coding

Computer Vision

Finance and Economics

Top Data Types

Computer Code Programming

Document

Image

Top Task Types

Computer Programming Coding

Fine Tuning

Prompt Response Writing SFT

Freelancer Overview

I have extensive experience in data labeling and AI training data, with a focus on diverse applications and industries. My work with NSIC on agricultural models and local language models for translation has equipped me with a deep understanding of domain-specific challenges and solutions. I excel in prompt response engineering and fine-tuning, which are critical for developing high-performance models tailored to specific use cases. Additionally, my collaboration with Scale AI has allowed me to contribute to a variety of industries, including finance, automobile, electronics, and energy. This has involved training and fine-tuning models to meet industry-specific requirements, ensuring high accuracy and reliability. My expertise in both multimodal LLMs and computer vision further enhances my ability to deliver robust AI solutions.

Labeling Experience

Prompt Engineer

Scale AIImageEvaluation RatingPrompt Response Writing SFT

The Nightingale project involves multimodal prompt response writing, requiring careful examination of provided images to generate relevant prompts and responses. Tasks include interpreting various image types, such as charts, tables, and slides, and crafting CERTAIN or UNCERTAIN responses based on the image's content. Attention to image quality and type, thorough research, and adherence to prompt engineering methods are crucial for success.

The Nightingale project involves multimodal prompt response writing, requiring careful examination of provided images to generate relevant prompts and responses. Tasks include interpreting various image types, such as charts, tables, and slides, and crafting CERTAIN or UNCERTAIN responses based on the image's content. Attention to image quality and type, thorough research, and adherence to prompt engineering methods are crucial for success.

2024 - 2024

Education

Work History