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Srin Srinivas

AI Operations Analyst – Model Output Evaluator

ExpertOther

Key Skills

Software

Other

Top Subject Matter

Large Language Models
AI Output Evaluation
Nlp Domain Expertise

Top Data Types

TextText
ImageImage

Top Task Types

Data Collection

Freelancer Overview

AI Operations Analyst – Model Output Evaluator. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Science, SR&BGNR Government Degree & PG College Khammam (2017) and Intermediate, Government Junior College, Manuguru Bhadardri District (2013). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Data Collection.

Expert

Labeling Experience

AI Operations Analyst – Model Output Evaluator

Text
As an AI Operations Analyst at Innodata, I conducted model output evaluations and safety benchmarking for large language models. My work focused on identifying hallucination patterns, refining instruction-following, and benchmarking model robustness using Multimango and proprietary tools. I performed high-complexity evaluations, multi-modal consistency checks, and ranked outputs for coding and logical tasks. • Evaluated 500+ model-generated text outputs for logical accuracy and hallucinations. • Refined and tested over 200 complex prompts against adversarial and instruction-following scenarios. • Benchmarked model performance across text, image, and audio modalities for cross-modal accuracy. • Ensured 95% alignment with gold-standard evaluation metrics through systematic analysis.

As an AI Operations Analyst at Innodata, I conducted model output evaluations and safety benchmarking for large language models. My work focused on identifying hallucination patterns, refining instruction-following, and benchmarking model robustness using Multimango and proprietary tools. I performed high-complexity evaluations, multi-modal consistency checks, and ranked outputs for coding and logical tasks. • Evaluated 500+ model-generated text outputs for logical accuracy and hallucinations. • Refined and tested over 200 complex prompts against adversarial and instruction-following scenarios. • Benchmarked model performance across text, image, and audio modalities for cross-modal accuracy. • Ensured 95% alignment with gold-standard evaluation metrics through systematic analysis.

2021 - Present

Quality Associate – Data Annotation Specialist

OtherTextData Collection
As a Quality Associate at Nvidia, I performed data annotation tasks across multiple datasets to support supervised learning for AI applications. My annotations included text, images, and video data to aid natural language processing, computer vision, and speech recognition. This involved both labeling and QA of datasets to maintain high data quality. • Labeled text, image, and video datasets for NLP, CV, and speech tasks. • Conducted quality checks and corrections to ensure data consistency and accuracy. • Collaborated with team members as both Labelling Analyst and Quality Analyst. • Delivered high-quality labeled data to train and validate AI models for production.

As a Quality Associate at Nvidia, I performed data annotation tasks across multiple datasets to support supervised learning for AI applications. My annotations included text, images, and video data to aid natural language processing, computer vision, and speech recognition. This involved both labeling and QA of datasets to maintain high data quality. • Labeled text, image, and video datasets for NLP, CV, and speech tasks. • Conducted quality checks and corrections to ensure data consistency and accuracy. • Collaborated with team members as both Labelling Analyst and Quality Analyst. • Delivered high-quality labeled data to train and validate AI models for production.

2018 - 2021

Education

S

SR&BGNR Government Degree & PG College Khammam

Bachelor of Science, Biochemistry

Bachelor of Science
2015 - 2017
G

Government Junior College, Manuguru Bhadardri District

Intermediate, Biology, Physics, Chemistry

Intermediate
2012 - 2013

Work History

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