Lulo S.

Key Skills

Software

Labelbox

CVAT

Scale AI

Prodigy

Label Studio

Top Subject Matter

Object detection

NER on legal/medical/financial documents

annotation QA

Top Data Types

Image

Text

3D Sensor

Document

Top Task Types

Bounding Box

Segmentation

Cuboid

Classification

Freelancer Overview

Senior Data Labeling Analyst at LabelGen AI (San Francisco, CA). Core strengths include Labelbox, CVAT, and Python. AI-training focus includes data types such as Image, Text, and Medical and labeling workflows including Bounding Box, Entity (NER), and Segmentation.

Labeling Experience

Senior Data Labeling Analyst at LabelGen AI (San Francisco, CA)

LabelboxImageBounding Box

Served as a Senior Data Labeling Analyst leading annotation and QA efforts for object detection datasets. Annotated images with bounding boxes and related keypoint/polygon elements while performing thorough review to maintain labeling accuracy. Improved inter-annotator agreement for a team of annotators through established guidelines and quality-control processes. • Labeled and QA’d 25,000+ object detection items using bounding boxes, polygons, and keypoints • Built automated quality dashboards in Python to reduce QA review time by 40% • Designed multi-label NER annotation schemas for legal, medical, and financial document domains • Achieved 98.5% accuracy and improved Cohen’s Kappa from 0.72 to 0.91

2023 - Present

Data Analyst & Annotator at DataMind Corp (Austin, TX)

Scale AIText

Worked as a Data Analyst & Annotator supporting text annotation for NLP tasks, including NER and sentiment analysis. Labeled multi-language text across multiple languages and performed analysis to improve throughput and identify bottlenecks. Produced dashboards and conducted audio-related annotation tasks to support downstream model development. • Labeled 30,000+ text spans for NER and sentiment analysis across 5 languages • Developed SQL queries and Python scripts to analyze annotation throughput and optimize productivity • Created Tableau dashboards for labeling progress, quality metrics, and dataset distributions • Performed audio transcription and labeling for ASR including timestamp alignment and speaker diarization

2021 - 2022

Data Annotation Intern at NeuralTag Labs (Remote)

Label StudioImageSegmentation

Completed data annotation internship work focused on image segmentation and classification for autonomous driving datasets. Performed data cleaning and preprocessing to remove duplicate/noisy records prior to training usage. Documented labeling guidelines and edge-case handling protocols for onboarding annotators. • Annotated 5,000+ frames with image segmentation and classification tasks for autonomous driving • Cleaned and preprocessed data using Python, removing 3,200+ duplicate/noisy records • Documented labeling guidelines and edge-case protocols for new annotators • Supported preparation of datasets for model training workflows

2021 - 2021

Content Moderation Labeling System (Key Project)

CVATTextClassification

Built a multi-category content moderation labeling system to classify content into predefined categories. Structured the labeling workflow to improve consistency across classes. Produced labeled outputs suitable for training and evaluation of moderation models. • Implemented multi-category content classifications for moderation use cases • Defined a labeling system for consistent category assignment • Supported creation of training-ready labeled content • Enabled downstream model development and evaluation

Not specified

Autonomous Driving 3D Bounding Boxes (Key Project)

CVAT3D SensorCuboid

Labeled LiDAR pointcloud data using 3D cuboids for an autonomous driving dataset. Implemented structured labeling to support 3D perception workflows. Produced a sizable labeled set for training models that require spatial object representations. • Labeled LiDAR pointclouds with 3D cuboids for 20K samples • Organized labels to support 3D detection use cases • Prepared training-ready datasets for autonomous driving models • Applied consistent cuboid labeling conventions

Not specified

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Education

Work History