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Paul R.

Paul R.

Technical Support Engineer 2 — AI Agent Architecture & Data Pipeline Forensics

USA flagLawrenceville, Usa

Key Skills

Software

Don't disclose
Other

Top Subject Matter

AI agent support automation
customer metadata labeling
JSON pipeline validation

Top Data Types

DocumentDocument
TextText
AudioAudio

Top Task Types

Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Entity (NER) ClassificationEntity (NER) Classification

Freelancer Overview

Technical Support Engineer 2 — AI Agent Architecture & Data Pipeline Forensics (SUPERMETRICS, 2023–2026). Brings 15+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Don't disclose. Education includes N/A, Georgia Perimeter College (2007) and Series 6 License, N/A. AI-training focus includes data types such as Document, Text, and Computer Code and labeling workflows including Prompt + Response Writing (SFT), Entity (NER) Classification, and Evaluation.

Labeling Experience

Technical Support Engineer 2 — AI Agent Architecture & Data Pipeline Forensics (SUPERMETRICS, 2023–2026)

DocumentDocumentPrompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Engineered and operationalized AI support workflows that required structured labeling of customer and support signals to drive correct ticket prioritization. Designed ingestion parameters and tuning loops so the model could distinguish user errors versus systemic outages while maintaining consistent logic constraints. Performed evaluation-driven adjustments to reduce false positives and ensure correct mapping of enterprise metadata signals. • Labeled/verified customer ARR-related metadata from unstructured sources for enterprise ticket ranking. • Tuned escalation prompt behavior to improve decision accuracy under ambiguous cases. • Audited and corrected model drift via manual feedback loops and logic guardrails. • Analyzed failed JSON data pipelines to validate schema matches and data integrity.

2023 - 2026

Customer Experience Representative 3 — Document Verification & On-Chain Forensics (BINANCE.US, 2021–2023)

Don't discloseDocumentDocumentEntity (NER) ClassificationEntity (NER) Classification

Conducted manual document understanding and annotation for KYC/AML workflows, producing labeled determinations about document integrity and biometric consistency. Performed transactional logic auditing using on-chain evidence to trace and recover missing or orphaned data payloads. Used human verification as ground truth when automated checks were insufficient, improving downstream fraud-detection and compliance reasoning. • Labeled thousands of KYC/AML documents to identify fraudulent alterations. • Annotated biometric mismatches that automated systems failed to flag. • Traced orphaned on-chain payloads via public blockchain explorers for manual recovery. • Conducted cross-chain forensic verifications to validate transactional linkage.

2021 - 2023

System Support Analyst — Log Analysis & Parameter Mapping (ONE INC, 2021)

OtherTextText

Carried out diagnostic labeling and validation of system failures by mapping unstructured log errors to specific payment processing bugs. Audited REST API request/response structures to confirm that transactional data was correctly translated between systems. Produced verified findings from evidence inspection to guide remediation and prevent recurring logic faults. • Labeled diagnostic events by linking Kibana log errors to payment processing bug categories. • Validated API structures to ensure transactional clarity and correct field mapping. • Conducted forensic root cause analysis using log and payload inspection. • Ensured accurate data translation between PolicyOne and external merchant billing systems.

2021 - 2021

Technical Support Analyst — Hardware Logic & Automated Triggers (ASSURANT, 2017–2021)

Other

Developed automated logic testing workflows that verified hardware-software trigger behavior across multiple devices using structured Boolean gating. Used controlled experiments to validate system responses to specific input conditions and orchestration scenarios. Ensured test coverage by designing reproducible lab setups and trigger configurations. • Configured automated trigger logic to validate multi-device orchestration behavior. • Designed structured test scenarios to confirm correct event handling. • Implemented hardware-software integrations to reproduce orchestration conditions. • Verified system outcomes through repeated test execution in a controlled lab.

2017 - 2021

Education

G

Georgia Perimeter College

N/A, Information Systems

N/A
2005 - 2007
N

N/A

Series 63 License, Finance

Series 63 License
Not specified

Work History

S

Supermetrics

Technical Support Engineer 2

Lawrenceville
2023 - Present
B

Binance.US

Customer Experience Representative 3

N/A
2021 - 2023