Kelvin M.

Key Skills

Software

Argilla

Top Subject Matter

AI/ML-style evaluation framework design for system behavior and data quality using structured rubrics and ETL log processing

Data validation and automated log processing to support evaluation/assessment workflows

Top Data Types

Computer Code Programming

Top Task Types

Bounding Box

Freelancer Overview

Technical Systems & Workflow Analyst (IT and Software Development) focused on structured benchmarks, validation criteria. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Evaluation, Rating, and Computer Programming.

Labeling Experience

Full-Stack Application Developer & Quality Engineer / Full-Stack Project Developer (Real estate platform with validation, analytics, and ETL reporting)

Other

Developed full-stack analytics dashboards and backend logic that implements structured data validation and quality controls. Built automated ETL workflows to ingest and clean large, complex system logs so they can be used for verification and reporting. Maintained a hardened Ubuntu Linux environment with meticulous logs to support reproducible evaluation of application and data handling behavior. • Architected backend APIs and relational database optimizations with validation criteria • Implemented KPI tracking and scannable analytics visualizations for operational metrics • Automated ETL pipelines for log extraction, transformation, and clean loading • Applied security-first auditing protocols to ensure reliable, traceable data handling

Not specified

Technical Systems & Workflow Analyst (IT and Software Development) focused on structured benchmarks, validation criteria, and automated reporting for system behavior evaluation

OtherText

Engineered structured evaluation and benchmarking frameworks to score and verify complex system behaviors and edge cases. Translated observed Linux and application infrastructure behaviors into crisp, unambiguous technical documentation used to validate workflows and outputs. Built criteria-based systems that separate successful versus unsuccessful system behaviors for downstream quality assurance. • Designed step-by-step diagnostic rubrics to isolate system inconsistencies • Defined rigorous validation criteria to detect subtle edge cases and data handling vulnerabilities • Produced technical summaries and audit logs that support structured verification • Streamlined reporting pipelines to extract, transform, and load large system log datasets for assessment

Not specified

Education

Work History