Suraj Yadav

Key Skills

Software

Internal/Proprietary Tooling

Labelbox

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Task Types

Text Generation

RLHF

Fine Tuning

Evaluation Rating

Prompt Response Writing SFT

Data Collection

Freelancer Overview

I am a highly results-driven LLM Trainer and AI data annotator with hands-on experience in prompt writing, RLHF, and SFT techniques, particularly within scientific domains such as biochemistry, genomics, and molecular biology. My work includes developing and evaluating thousands of prompts and AI-generated responses, which has directly contributed to improving model accuracy and reducing error rates. I am adept with data labeling tools, Outlier’s labeling platform, and bioinformatics software, and I consistently deliver high-quality, reliable training data for AI systems. My background as a subject matter expert in biology and chemistry, along with experience in quality assurance and bioinformatics projects, enables me to ensure data quality and domain relevance across diverse projects. I thrive in collaborative environments and am committed to advancing the performance and reliability of AI models through meticulous data annotation and evaluation.

Labeling Experience

LLM Trainer

Internal Proprietary ToolingTextText GenerationRLHF

The aim of the project is to fine tune AI with with various parameters such as Truthfulness, Communication, Conciseness, Accuracy. This ensures model to work finely with new data set and achieve a greater accuracy in various fields.

The aim of the project is to fine tune AI with with various parameters such as Truthfulness, Communication, Conciseness, Accuracy. This ensures model to work finely with new data set and achieve a greater accuracy in various fields.

2024

Prompt Creation and Evaluation.

LabelboxTextFine TuningEvaluation Rating

It is to evaluate and train model by writing prompt and rate the output that is result of that particular prompt. It is mainly based on STEM subjects.

It is to evaluate and train model by writing prompt and rate the output that is result of that particular prompt. It is mainly based on STEM subjects.

2023 - 2024

Education

Work History