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Gyanesh Shukla

Gyanesh Shukla

LLM evaluation and scientific coding benchmark expert..

India flagHyderabad, India
$25.00/hrIntermediateOtherInternal Proprietary Tooling

Key Skills

Software

Other
Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code ProgrammingComputer Code Programming
TextText

Top Task Types

Computer Programming Coding
Evaluation Rating
Function Calling
Prompt Response Writing SFT
RLHF

Freelancer Overview

I have extensive experience in creating, curating, and evaluating high-quality training data for AI systems, particularly in scientific reasoning, computational biology, and code generation. As an AI trainer and biology subject-matter expert, I have contributed to multiple large-scale projects involving RLHF, SFT, HLE, and Sci-CODE, where I analyzed model outputs, designed multi-step scientific prompts, corrected reasoning chains, and ensured factual, domain-accurate annotations. My expertise spans genomics, genome mining, natural product discovery, and bioinformatics pipelines, enabling me to bring deep domain knowledge to complex annotation tasks. Alongside biological expertise, I work routinely with Python, scientific libraries, and real-world datasets from NCBI, Ensembl, KEGG, and antiSMASH, which strengthens my ability to design and validate technical prompts, coding challenges, and structured datasets. I am highly detail-oriented, consistent in labeling, and experienced in breaking down complex scientific problems into clear, high-quality training data that improves model performance and reliability.

IntermediateHindiEnglish

Labeling Experience

Scientific Text Reasoning RLHF Annotation

Internal Proprietary ToolingComputer Code ProgrammingRLHFEvaluation Rating
I annotated scientific reasoning data for an RLHF project focused on improving model accuracy in biology and chemistry. Tasks included evaluating multi-step reasoning, identifying logical errors, correcting explanations, scoring model outputs, and classifying response quality. I also validated factual correctness, ensured domain-consistency, and flagged ambiguity. The project involved thousands of samples and required high attention to detail, adherence to strict quality guidelines, and consistency across annotators

I annotated scientific reasoning data for an RLHF project focused on improving model accuracy in biology and chemistry. Tasks included evaluating multi-step reasoning, identifying logical errors, correcting explanations, scoring model outputs, and classifying response quality. I also validated factual correctness, ensured domain-consistency, and flagged ambiguity. The project involved thousands of samples and required high attention to detail, adherence to strict quality guidelines, and consistency across annotators

2025 - 2025

Education

U

University of Hyderabad

Master of Science, Plant Biotechnology

Master of Science
2020 - 2022
S

St. Joseph’s College, Prayagraj

Intermediate, N/A

Intermediate
2017 - 2020

Work History

S

Subject matter expert AI trainer

AI Trainer and Biology problem creator

HYDERABAD
2025 - 2025
G

Genotypic Technologies

Junior Scientific Analyst

Bangalore
2023 - 2023