Key Skills

Software

AWS SageMaker

Anno-Mage

Appen

Argilla

Axiom AI

Clickworker

CloudFactory

CrowdFlower

CrowdSource

CVAT

Data Annotation Tech

Dataloop

Datatroniq

Datasaur

Dataturk

Deep Systems

Encord

HiveMind

Humanatic

iMerit

Kili Technology

Labelbox

LabelImg

Mighty AI

Mindrift

OneForma

OpenCV AI Kit (OAK)

Remotasks

Sama

SuperAnnotate

Surge AI

V7 Labs

Other

Internal/Proprietary Tooling

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Computer Code Programming

Video

Top Task Types

Action Recognition

Classification

Computer Programming Coding

Data Collection

Mapping

Freelancer Overview

Innovative PhD holder and senior full-stack software engineer with over 6 years of experience in data labeling, AI model training, and annotation for enterprise and research projects. Expert in evaluating AI-generated content, designing rubrics for number theory, set theory, and logical proofs, and ensuring data quality for generative AI models. Proficient with industry-standard tools such as Labelbox, Scale AI, and Prodigy, and experienced in integrating machine learning models into production systems. Strong background in technical writing, data science, and cross-functional collaboration, with a proven track record of delivering high-quality, structured datasets for global clients. Data Labeling/AI Training Experience (project highlights): Outlier (2024–2025): Reviewed and annotated AI-generated math and logic content, created test sets for red teaming, and designed evaluation rubrics for LLMs. TechNova Solutions (2021–Present): Integrated ML models into microservices, managed data pipelines, and ensured robust data annotation for predictive analytics. Freelance: Developed structured STEM learning materials, evaluated AI content, and edited technical manuscripts for clarity and accuracy. Tools: Extensive hands-on experience with Labelbox, Scale AI, and Prodigy for data annotation and quality assurance.

Labeling Experience

Education

Work History