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Shivam Singh

Shivam Singh

Data Annotation & AI Feature Integration

INDIA flag
Pune, India
$10.00/hrIntermediateAppenClickworkerAws Sagemaker

Key Skills

Software

AppenAppen
ClickworkerClickworker
AWS SageMakerAWS SageMaker
Google Cloud Vertex AIGoogle Cloud Vertex AI
HiveMindHiveMind
Micro1
MindriftMindrift
TolokaToloka

Top Subject Matter

AI-driven recommendation for education/counseling
E-commerce inventory/databases
Personal finance tracking/UX data

Top Data Types

TextText
DocumentDocument
ImageImage

Top Task Types

Classification

Freelancer Overview

Data Annotation & AI Feature Integration. Brings 1+ 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, MIT ADT University (Kalvium UG Program in Software Product Engineering) (2028). AI-training focus includes data types such as Text and Document and labeling workflows including Classification.

IntermediateHindiEnglish

Labeling Experience

Content Classification & UX Data Review

TextClassification
I contributed to smart categorization algorithms by analyzing, categorizing, and labeling user interaction logs and scanned receipts for budget tracking applications. My responsibilities included reviewing AI-powered categorization outputs, validating their accuracy, and flagging anomalies for retraining purposes. I worked closely with cross-functional teams to ensure annotation consistency across a growing dataset of active user records. • Maintained standardized annotation guidelines for over 500 user data entries. • Performed regular quality checks to sustain model performance. • Flagged and documented outliers for ongoing model refinement. • Supported sustained automation and user experience improvement.

I contributed to smart categorization algorithms by analyzing, categorizing, and labeling user interaction logs and scanned receipts for budget tracking applications. My responsibilities included reviewing AI-powered categorization outputs, validating their accuracy, and flagging anomalies for retraining purposes. I worked closely with cross-functional teams to ensure annotation consistency across a growing dataset of active user records. • Maintained standardized annotation guidelines for over 500 user data entries. • Performed regular quality checks to sustain model performance. • Flagged and documented outliers for ongoing model refinement. • Supported sustained automation and user experience improvement.

2026 - Present

Data Quality & Categorization

DocumentClassification
My main responsibilities included structuring and labeling product inventory data, including custom categories, attributes, and detailed metadata fields, for improved search and filter features. I validated data integrity for product entries, identifying and correcting mislabeled or duplicate items in the system. The work included developing and documenting new data classification schemas to enhance consistency across the product database. • Reduced inventory mismatch errors by 30% through new schema implementations. • Performed systematic checks to ensure data accuracy and classification uniformity. • Focused on enabling robust search and checkout workflows. • Worked collaboratively to define category and attribute standards.

My main responsibilities included structuring and labeling product inventory data, including custom categories, attributes, and detailed metadata fields, for improved search and filter features. I validated data integrity for product entries, identifying and correcting mislabeled or duplicate items in the system. The work included developing and documenting new data classification schemas to enhance consistency across the product database. • Reduced inventory mismatch errors by 30% through new schema implementations. • Performed systematic checks to ensure data accuracy and classification uniformity. • Focused on enabling robust search and checkout workflows. • Worked collaboratively to define category and attribute standards.

2024 - 2025

Data Annotation & AI Feature Integration

TextClassification
In this role, I curated and labeled a broad range of user-generated content, task descriptions, and collaboration logs to support the development of AI-assisted recommendation features. I reviewed and corrected AI-generated outputs for college counseling workflows and applied refined tagging schemas to categorize student intent, task priority, and project status. Collaboration with developers helped improve annotation guidelines and boost label reliability across the annotation pipeline. • Labeled over 1,000 data entries spanning user content and workflow data. • Enhanced output accuracy by providing corrected examples for model retraining. • Boosted label consistency by 20% through guideline improvements. • Focused on supporting model evaluation and feedback loops.

In this role, I curated and labeled a broad range of user-generated content, task descriptions, and collaboration logs to support the development of AI-assisted recommendation features. I reviewed and corrected AI-generated outputs for college counseling workflows and applied refined tagging schemas to categorize student intent, task priority, and project status. Collaboration with developers helped improve annotation guidelines and boost label reliability across the annotation pipeline. • Labeled over 1,000 data entries spanning user content and workflow data. • Enhanced output accuracy by providing corrected examples for model retraining. • Boosted label consistency by 20% through guideline improvements. • Focused on supporting model evaluation and feedback loops.

2024 - 2025

Education

M

MIT ADT University (Kalvium UG Program in Software Product Engineering)

Bachelor of Technology, Computer Science and Engineering

Bachelor of Technology
2024 - 2028

Work History

G

Global Dream Connect

Frontend Developer Intern

Pune
2026 - Present