Rohith Vardhan Siliveri

Key Skills

Software

OpenCV AI Kit (OAK)

Top Subject Matter

Customer Service

Nlp Domain Expertise

Sentiment Analysis

Top Data Types

Text

Image

Document

Top Task Types

Classification

Freelancer Overview

NLP Sentiment Annotation Specialist (as part of AI/ML Engineer role). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and OpenCV AI Kit (OAK). Education includes Master of Science, SUNY Binghamton University (2025). AI-training focus includes data types such as Text and Image and labeling workflows including Classification.

Labeling Experience

NLP Sentiment Annotation Specialist (as part of AI/ML Engineer role)

TextClassification

Developed an NLP pipeline using BERT transformers to classify sentiment and intent from customer service transcripts. This involved annotating large datasets of customer queries for model training and evaluation, ensuring data quality and balanced class distribution. Regular audits and validation tasks were performed to improve model accuracy and reduce labeling errors. • Managed and oversaw classification tasks for conversation transcripts. • Conducted periodic quality checks and inter-annotator agreement assessments. • Collaborated with domain experts to refine label definitions and criteria. • Used internal/proprietary tools on Azure ML infrastructure for labeling workflow.

Developed an NLP pipeline using BERT transformers to classify sentiment and intent from customer service transcripts. This involved annotating large datasets of customer queries for model training and evaluation, ensuring data quality and balanced class distribution. Regular audits and validation tasks were performed to improve model accuracy and reduce labeling errors. • Managed and oversaw classification tasks for conversation transcripts. • Conducted periodic quality checks and inter-annotator agreement assessments. • Collaborated with domain experts to refine label definitions and criteria. • Used internal/proprietary tools on Azure ML infrastructure for labeling workflow.

2025 - Present

Image Damage Annotation Specialist (as part of AI Engineer role)

Opencv AI Kit OakImageClassification

Engineered a computer vision pipeline utilizing OpenCV and ResNet-50 with PyTorch for insurance damage assessment. Labeled image datasets depicting varying damage cases for model training and automated claims processing. Implemented periodic reviews to enhance labeling accuracy and consistency across large, diverse datasets. • Defined labeling guidelines for diverse damage types in images. • Collaborated with underwriters and subject experts to ensure valid categorization. • Used OpenCV and internal tools for annotation and validation. • Enabled automated quality assurance loops for continuous improvement.

Engineered a computer vision pipeline utilizing OpenCV and ResNet-50 with PyTorch for insurance damage assessment. Labeled image datasets depicting varying damage cases for model training and automated claims processing. Implemented periodic reviews to enhance labeling accuracy and consistency across large, diverse datasets. • Defined labeling guidelines for diverse damage types in images. • Collaborated with underwriters and subject experts to ensure valid categorization. • Used OpenCV and internal tools for annotation and validation. • Enabled automated quality assurance loops for continuous improvement.

2022 - 2023

Education

Work History