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S

Shreyash Deshbhratar

AI Trainer

India flagNagpur, India
$17.50/hrIntermediate

Key Skills

Software

No software listed

Top Subject Matter

LLM Training
Evaluation Domain Expertise
Programming Domain Expertise

Top Data Types

TextText
ImageImage
VideoVideo

Top Task Types

Fine-tuningFine-tuning
ClassificationClassification
Text GenerationText Generation
RLHFRLHF
Computer Programming/CodingComputer Programming/Coding
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Function CallingFunction Calling
Data CollectionData Collection
Question AnsweringQuestion Answering
Evaluation/RatingEvaluation/Rating

Freelancer Overview

AI Trainer. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Master of Computer Applications, Ramdeobaba University (2023) and Bachelor of Science, Dr Ambedkar College (2023). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Fine-tuning, Evaluation, and Rating.

IntermediateEnglishHindi

Labeling Experience

AI Trainer

Fine Tuning
As an AI Trainer for LLM projects, I collaborated on fine-tuning models to improve accuracy, tone, and task alignment. My work involved prompt engineering, response evaluation, and systematic assessment of model outputs. I performed RLHF tasks and contributed to model evaluation using structured rubrics. • Designed and performed reinforcement learning from human feedback by ranking and annotating model outputs. • Crafted complex prompts for diverse use cases including education, productivity, and customer support. • Built evaluation frameworks and rubrics to assess factual correctness and alignment with user intent. • Developed tools and contributed insights on LLM behavior correction and automated validation with Python.

As an AI Trainer for LLM projects, I collaborated on fine-tuning models to improve accuracy, tone, and task alignment. My work involved prompt engineering, response evaluation, and systematic assessment of model outputs. I performed RLHF tasks and contributed to model evaluation using structured rubrics. • Designed and performed reinforcement learning from human feedback by ranking and annotating model outputs. • Crafted complex prompts for diverse use cases including education, productivity, and customer support. • Built evaluation frameworks and rubrics to assess factual correctness and alignment with user intent. • Developed tools and contributed insights on LLM behavior correction and automated validation with Python.

2025 - Present

Education

R

Ramdeobaba University

Master of Computer Applications, Computer Applications

Master of Computer Applications
2023 - 2025
D

Dr Ambedkar College

Bachelor of Science, Computer Science

Bachelor of Science
2020 - 2023

Work History

T

Techwalnut Innovations

Software Engineer Intern

Nagpur
2024 - Present