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D

Dachepalli Mohan Raghu

AI/ML Analyst (Innodata for Meta)

India flagHyderabad, India
$10.00/hrIntermediateLabelimg

Key Skills

Software

LabelImgLabelImg

Top Subject Matter

LLM evaluation
AI model quality
prompt-response analysis

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

RLHFRLHF
ClassificationClassification

Freelancer Overview

AI/ML Analyst (Innodata for Meta). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Technology, N/A (2019). AI-training focus includes data types such as Text and labeling workflows including RLHF, Evaluation, and Rating.

IntermediateEnglishTeluguHindi

Labeling Experience

AI/ML Analyst (Innodata for Meta)

TextRLHF
As an AI/ML Analyst at Innodata (Client: Meta), I evaluated over 500 LLM responses per day using RLHF-based evaluation. My responsibilities included ranking, comparison, and justification writing to ensure the quality of model responses. Hallucination detection and strict SOP-driven QA formed a critical aspect of my role. • Evaluated and rated prompts and responses for accuracy and compliance. • Identified hallucinations, edge cases, and flagged policy violations. • Maintained annotation quality through process adherence. • Utilized proprietary/internal evaluation platforms and tools.

As an AI/ML Analyst at Innodata (Client: Meta), I evaluated over 500 LLM responses per day using RLHF-based evaluation. My responsibilities included ranking, comparison, and justification writing to ensure the quality of model responses. Hallucination detection and strict SOP-driven QA formed a critical aspect of my role. • Evaluated and rated prompts and responses for accuracy and compliance. • Identified hallucinations, edge cases, and flagged policy violations. • Maintained annotation quality through process adherence. • Utilized proprietary/internal evaluation platforms and tools.

2025 - Present

AI/ML Associate (Amazon)

Text
At Amazon as an AI/ML Associate, I supported large-scale annotation and validation for AI model training. My work primarily involved reviewing AI-generated outputs for compliance and quality. I contributed to annotation quality benchmarks and managed edge case escalations. • Annotated and validated text data for AI training. • Conducted quality assurance and consistency reviews. • Implemented guideline-based review processes. • Used internal or proprietary annotation tools for workflow.

At Amazon as an AI/ML Associate, I supported large-scale annotation and validation for AI model training. My work primarily involved reviewing AI-generated outputs for compliance and quality. I contributed to annotation quality benchmarks and managed edge case escalations. • Annotated and validated text data for AI training. • Conducted quality assurance and consistency reviews. • Implemented guideline-based review processes. • Used internal or proprietary annotation tools for workflow.

2023 - 2024

Associate (Wipro for Google)

TextClassification
While at Wipro (Client: Google), I annotated and labeled ML training datasets across diverse domains. My responsibilities extended to guideline-based QA and ensuring dataset readiness for ML pipelines. High productivity standards and accuracy were recognized during my tenure. • Labeled and classified text data for AI training purposes. • Performed quality checks for data consistency and compliance. • Supported dataset preparation and cleanup activities. • Utilized proprietary/internal annotation software as part of workflows.

While at Wipro (Client: Google), I annotated and labeled ML training datasets across diverse domains. My responsibilities extended to guideline-based QA and ensuring dataset readiness for ML pipelines. High productivity standards and accuracy were recognized during my tenure. • Labeled and classified text data for AI training purposes. • Performed quality checks for data consistency and compliance. • Supported dataset preparation and cleanup activities. • Utilized proprietary/internal annotation software as part of workflows.

2022 - 2023

Education

G

Gulzar Group of Institutions

Bachelor of Technology, Automation & Robotics

Bachelor of Technology
2013 - 2017

Work History

A

AI/ML Analyst (Client: Meta) (

Innodata

Location not specified
2025 - Present
A

AI/ML Associate (Client: Amazon) (

Amazon

Location not specified
2023 - 2024