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H

Havi Elvin

AI-Enhanced Technical Vetting and Evaluation Lead

USA flag
Austin, Usa
Expert

Key Skills

Software

No software listed

Top Subject Matter

AI model training
technical recruitment
vetting datasets

Top Data Types

TextText
Computer Code ProgrammingComputer Code Programming

Top Task Types

Classification

Freelancer Overview

AI-Enhanced Technical Vetting and Evaluation Lead. Brings 21+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Master of Science, Stanford University (2006) and Bachelor of Science, MIT (2002). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Expert

Labeling Experience

AI-Enhanced Technical Vetting and Evaluation Lead

Text
Led the development and execution of AI-based screening and vetting processes for technical candidate datasets. Managed the design and deployment of funnel analytics dashboards for tracking recruitment journeys and evaluation points. Oversaw teams optimizing and labeling candidates’ technical capabilities for foundational AI recruitment. • Utilized internal/proprietary tools for end-to-end technical vetting and evaluation. • Coordinated data collection and technical label definition for talent pipeline metrics. • Regularly improved methodologies for AI-enhanced rating and evaluation. • Increased accuracy and reduced bias in technical candidate assessment processes.

Led the development and execution of AI-based screening and vetting processes for technical candidate datasets. Managed the design and deployment of funnel analytics dashboards for tracking recruitment journeys and evaluation points. Oversaw teams optimizing and labeling candidates’ technical capabilities for foundational AI recruitment. • Utilized internal/proprietary tools for end-to-end technical vetting and evaluation. • Coordinated data collection and technical label definition for talent pipeline metrics. • Regularly improved methodologies for AI-enhanced rating and evaluation. • Increased accuracy and reduced bias in technical candidate assessment processes.

2020 - Present

Technical Data Annotation and Classification Specialist

TextClassification
Designed and implemented custom annotation and classification workflows focused on AI training datasets for technical recruitment. Integrated and labeled candidate data by evaluating resumes, GitHub scores, and technical interviews for AI-driven hiring initiatives. Enhanced onboarding and benchmarking criteria, ensuring data quality for specialized AI projects. • Processed and classified conversion funnel data in SQL and Tableau. • Led the annotation and evaluation of candidate datasets for domain expertise. • Standardized procedures for dataset labeling in technical hiring environments. • Collaborated with domain experts to define annotation guidelines.

Designed and implemented custom annotation and classification workflows focused on AI training datasets for technical recruitment. Integrated and labeled candidate data by evaluating resumes, GitHub scores, and technical interviews for AI-driven hiring initiatives. Enhanced onboarding and benchmarking criteria, ensuring data quality for specialized AI projects. • Processed and classified conversion funnel data in SQL and Tableau. • Led the annotation and evaluation of candidate datasets for domain expertise. • Standardized procedures for dataset labeling in technical hiring environments. • Collaborated with domain experts to define annotation guidelines.

2017 - 2020

Technical Assessment and Data Labeling Lead

Text
Conducted formal technical assessments and data labeling on large pools of software engineers and data scientists. Developed standardized rubrics for labeling and scoring technical skills and project portfolios for AI-recruitment tasks. Provided data-driven feedback and annotated reports to optimize hiring accuracy and dataset quality. • Designed and managed technical evaluation pipelines and criteria. • Created labeled datasets of candidate skills for hiring models. • Collaborated to ensure quality assurance in labeling outcomes. • Applied rating systems in proprietary evaluation tools and platforms.

Conducted formal technical assessments and data labeling on large pools of software engineers and data scientists. Developed standardized rubrics for labeling and scoring technical skills and project portfolios for AI-recruitment tasks. Provided data-driven feedback and annotated reports to optimize hiring accuracy and dataset quality. • Designed and managed technical evaluation pipelines and criteria. • Created labeled datasets of candidate skills for hiring models. • Collaborated to ensure quality assurance in labeling outcomes. • Applied rating systems in proprietary evaluation tools and platforms.

2012 - 2017

ML/DS Technical Profile Annotation and Evaluation Specialist

Text
Oversaw the annotation and evaluation of technical candidate profiles for machine learning and data science roles. Developed screening algorithms and trained models on labeled technical recruitment data. Mentored team members to ensure consistency in data labeling and evaluation for AI-driven staffing decisions. • Automated annotation systems for profile analysis. • Labeled text-based datasets derived from technical portfolios. • Implemented standardized rubrics for evaluation quality. • Monitored annotation quality across technical domains.

Oversaw the annotation and evaluation of technical candidate profiles for machine learning and data science roles. Developed screening algorithms and trained models on labeled technical recruitment data. Mentored team members to ensure consistency in data labeling and evaluation for AI-driven staffing decisions. • Automated annotation systems for profile analysis. • Labeled text-based datasets derived from technical portfolios. • Implemented standardized rubrics for evaluation quality. • Monitored annotation quality across technical domains.

2007 - 2012

Education

U

University of California, Berkeley

Diploma, Data Science and Analytics

Diploma
2018 - 2018
S

Stanford University

Master of Science, Computer Science

Master of Science
2004 - 2006

Work History

T

TechScale Solutions

Senior Technical Project Manager

Austin
2020 - Present
D

DataTalent Connect

Growth Operations Manager

San Francisco
2017 - 2020