Bikram B.

Key Skills

Software

Other

Top Subject Matter

Blockchain/Web3 policies and environmental/carbon-credit verification data

Blockchain/Web3 technical documentation (multilingual English & Bengali)

Environmental sensor data and carbon credit transaction records (Verra VCS)

Top Data Types

Document

Text

3D Sensor

Image

Top Task Types

Classification

Freelancer Overview

AI Data Annotation & Schema Validation (Blockchain & Environmental Data Projects). Brings 5+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include GitHub, Crowdin, and Other. Education includes Bachelor's Degree, Kolkata, West Bengal, India. AI-training focus includes data types such as Document, Text, and 3D Sensor and labeling workflows including Evaluation, Rating, and Translation.

Labeling Experience

Data Quality Assurance – Carbon Credit Verification (VCS Environmental Project)

Other3D SensorClassification

Reviewed and labeled environmental sensor data and carbon credit transaction records for compliance with Verra VCS standards. Applied structured annotation frameworks to classify and tag data points in environmental impact datasets. Identified and resolved data labeling inconsistencies to improve model accuracy for automated verification tools. • Labeled sensor and transaction records for environmental compliance datasets • Classified datapoints using structured annotation frameworks • Tracked and resolved labeling inconsistencies and edge cases • Improved downstream verification dataset quality through QA

2023 - Present

Technical Content Annotation & Localization (Crowdin Platform / Multilingual Projects)

Text

Annotated and reviewed Bengali and English technical content for AI language model training datasets. Validated translation quality and semantic consistency for blockchain-domain multilingual corpora. Labeled intent categories, technical terminology, and domain-specific entities in Web3 documentation for NLP model training. • Performed multilingual technical content annotation and review • Checked semantic consistency and translation quality across EN/BN • Tagged intents, terminology, and domain entities for NLP training • Supported dataset preparation for language model learning

2022 - Present

AI Data Annotation & Schema Validation (Blockchain & Environmental Data Projects)

Document

Annotated and validated JSON-based policy schemas for AI-powered blockchain verification systems, ensuring structural accuracy and semantic correctness. Performed quality review and labeling of environmental data records for automated verification AI pipelines. Conducted dry-run testing to identify labeling errors, edge cases, and data inconsistencies in AI training workflows. • Ensured schema compliance and semantic correctness for JSON policy structures • Reviewed and labeled carbon capture and VCS credit environmental records • Documented annotation guidelines and labeling standards for consistency • Flagged issues during dry runs to improve downstream pipeline accuracy

2022 - Present

Education

Work History