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Lucas Lucas Nicholls

Computer Vision Data Annotation Lead (Layla.ai)

Remote, Global Any Location
Expert

Key Skills

Software

No software listed

Top Subject Matter

Travel and Destination Recommendation AI
Real Estate Image Processing and Computer Vision

Top Data Types

VideoVideo
ImageImage

Top Task Types

Classification
Segmentation

Freelancer Overview

Computer Vision Data Annotation Lead (Layla.ai). Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, Wilfrid Laurier University (2018). AI-training focus includes data types such as Video and Image and labeling workflows including Classification and Segmentation.

Expert

Labeling Experience

Computer Vision Data Annotation Lead (Layla.ai)

VideoClassification
Built computer vision pipelines to ingest, label, and index destination videos, automatically extracting data points per video for visual search and content-booking pairing. Managed labeling of over 350,000 videos, enabling the development of search systems that identify destinations based on visual similarity and power recommendation features. Oversaw process automation, scaling data annotation across contributions from 1,600+ video creators and integrating rich metadata for downstream AI model training. • Labeled and indexed large-scale video datasets used for AI-powered search. • Automated annotation and feature extraction from videos using computer vision methods. • Coordinated large-scale video labeling from distributed content sources. • Enabled AI models for personalized travel recommendations by providing enriched labeled data.

Built computer vision pipelines to ingest, label, and index destination videos, automatically extracting data points per video for visual search and content-booking pairing. Managed labeling of over 350,000 videos, enabling the development of search systems that identify destinations based on visual similarity and power recommendation features. Oversaw process automation, scaling data annotation across contributions from 1,600+ video creators and integrating rich metadata for downstream AI model training. • Labeled and indexed large-scale video datasets used for AI-powered search. • Automated annotation and feature extraction from videos using computer vision methods. • Coordinated large-scale video labeling from distributed content sources. • Enabled AI models for personalized travel recommendations by providing enriched labeled data.

2021 - 2024

Image Segmentation and Annotation Engineer (Boxbrownie.com)

ImageSegmentation
Developed and led semantic segmentation of architectural images for sky detection and replacement, enabling automated editing features with high accuracy. Created labeling pipelines for day-to-dusk photo conversion using GANs, automating annotation for lighting simulation. Executed data annotation tasks involving millions of images processed at scale for object detection, room classification, and quality control validation in real estate imagery. • Generated ground-truth segmentation masks for training deep learning models on image datasets. • Led annotation initiatives focused on sky, object, and room boundaries in property photos. • Automated and validated labeled data to ensure quality for commercial AI solutions. • Established scalable pipelines to efficiently produce labeled data for computer vision tasks.

Developed and led semantic segmentation of architectural images for sky detection and replacement, enabling automated editing features with high accuracy. Created labeling pipelines for day-to-dusk photo conversion using GANs, automating annotation for lighting simulation. Executed data annotation tasks involving millions of images processed at scale for object detection, room classification, and quality control validation in real estate imagery. • Generated ground-truth segmentation masks for training deep learning models on image datasets. • Led annotation initiatives focused on sky, object, and room boundaries in property photos. • Automated and validated labeled data to ensure quality for commercial AI solutions. • Established scalable pipelines to efficiently produce labeled data for computer vision tasks.

2018 - 2021

Education

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Wilfrid Laurier University

Bachelor of Science, Computer Science

Bachelor of Science
2014 - 2018

Work History

T

Talkie-Ai

Lead AI & Fullstack Developer

Remote
2024 - 2026
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Layla.Ai

Fullstack AI Engineer

Remote
2021 - 2024