Gyaneshwar M.

Key Skills

Software

Internal/Proprietary Tooling

AWS SageMaker

Axiom AI

Google Cloud Vertex AI

Top Subject Matter

Financial Compliance & Risk Analysis

AI Agent Training

AI Model Auditing

Top Data Types

Text

Document

Image

Top Task Types

RLHF

Data Collection

Fine-tuning

Evaluation/Rating

Transcription

Segmentation

Classification

Text Generation

Text Summarization

Freelancer Overview

AI Trainer (Business Analyst). Brings 2+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal and Proprietary Tooling. Education includes Master of Business Administration, Indian Institute of Management Indore (2026) and Bachelor of Arts, Indian Institute of Management Indore (2024). AI-training focus includes data types such as Text and labeling workflows including RLHF and Data Collection.

Labeling Experience

AI Trainer (Business Analyst)

TextRLHF

As an AI Trainer (Business Analyst) at Turing Indore, I supported reinforcement learning through human feedback to help train AI Agents, particularly in finance-related scenarios. My core focus was to guide AI responses and evaluate model outputs for accuracy and usability. I maintained a structured approach to providing feedback that would optimize agent learning and improve AI consistency. • Supported RLHF workflows designed for AI agent improvement • Focused on the finance domain and real-world simulation tasks • Evaluated, rated, and annotated AI outputs to enhance model training • Maintained detailed feedback logs and performance reports

2026 - Present

AI Trainer

TextRLHF

During my tenure as an AI Trainer at Uber AI Solutions Indore, I performed structured audits of AI outputs within an RLHF-style framework. The work was aimed at producing reports that would directly improve and guide AI model behavior. My tasks included rating, annotating, and giving feedback to text-based AI systems in various business contexts. • Conducted structured evaluation and annotation of AI-generated content • Utilized RLHF methodologies for training refinement • Focused on improving text-based models for business use cases • Provided comprehensive feedback through detailed report writing

2025 - 2026

AI Researcher – Data Curator

TextData Collection

As part of the BharatGen AI Consortium Indore, I collaborated on the design and implementation of benchmarks for India-centric language models. I curated datasets for the Data Sagar project, focusing on textual and document content in multiple Indian languages. The task involved gathering, cleaning, and organizing large volumes of multilingual data for AI research and evaluation. • Collected and prepared diverse language datasets for LLM benchmarking • Focused on text and document data types in Indian languages • Ensured high-quality and representative data samples for evaluation • Supported AI research efforts through comprehensive data infrastructure

2024 - 2025

Education

Work History