Ebot T.

Key Skills

Software

OpenCV AI Kit (OAK)

Don't disclose

Other

Top Subject Matter

Machine learning model training and deployment

data engineering for ML

Construction computer vision

Top Data Types

Document

Image

Text

Top Task Types

Fine-tuning

Function Calling

Data Collection

Freelancer Overview

Founder, Voyance — April 2020 to Jan 2023. Brings 11+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal, Proprietary Tooling, and OpenCV AI Kit (OAK). Education includes Two Sigma & Crux Informatics, Senior Data Engineer (2019) and Tastemakers Africa, Senior Software Engineer (2018). AI-training focus includes data types such as Document and labeling workflows including Fine-tuning, Function Calling, and Evaluation.

Labeling Experience

Founder, Voyance — April 2020 to Jan 2023

DocumentFine-tuning

Founded and developed an ML/data platform where predictive models could be deployed without code, enabling continual model improvement via training pipelines. The work included building ETL and data integration foundations used to prepare datasets for machine learning workflows. This role supported the creation and refinement of model training data and deployment cycles. • Designed multi-source ETL to support downstream ML training data preparation • Engineered distributed ML platform to enable rapid iteration of predictive models • Led R&D on machine learning integrations and solution improvements • Managed product lifecycle from conception to launch for ML platform capabilities

2020 - 2023

Senior Scanning Data Platform Engineer, Doxel.ai — Sep 2019 to Feb 2020

OtherDocumentFine-tuning

Managed and developed AI-powered construction progress monitoring systems that rely on training data derived from large-scale sensing inputs. Implemented neural classifiers for real-time tracking of construction projects and achieved high recognition accuracy. The work required preparing structured training-ready inputs from 3D point cloud data for model development. • Built recognition and quality control models achieving 95% accuracy • Implemented real-time neural classifiers for progress monitoring • Operated large-scale point cloud processing services for 5TB+ weekly data • Optimized processing to improve throughput and reduce analysis time by 70%

2019 - 2020

Senior Scanning Data Platform Engineer, Doxel.ai (Andela partner engagement) — Sep 2019 to Feb 2020

OpenCV AI Kit (OAK)DocumentFunction Calling

Led computer vision engineering for 3D point cloud processing and AI-based recognition systems, producing outputs used for training and evaluation of equipment recognition models. The role involved building and operating large-scale data processing services that support construction progress monitoring. This work supported AI training through generation and processing of labeled/structured visual sensor-derived data. • Managed point cloud data processing services handling 5TB+ of 3D data weekly • Developed AI engine for construction equipment recognition and quality control at 95% accuracy • Implemented neural classifiers to enable real-time progress monitoring of $10M+ projects • Optimized multi-core processing to reduce point-cloud analysis time by 70%

2019 - 2020

Senior Data Engineer, Two Sigma & Crux Informatics (Andela partner engagement) — June 2018 to July 2019

Document

Built and enhanced large-scale data processing systems used to support machine learning analytics and downstream model development. The role emphasized robust monitoring and error handling to ensure quality of processed datasets. While not purely an annotation job, the work contributed to reliable dataset generation and preparation for AI/ML training and evaluation workflows. • Designed systems processing 100+ TB daily with monitoring to reduce pipeline failures by 80% • Improved Big Data query performance by 60% using optimized partition strategies • Developed data wrangling tools for normalization/enrichment to accelerate analyst workflows by 10x • Orchestrated 500+ daily ETL jobs with 99.9% reliability to maintain training dataset integrity

2018 - 2019

Software Engineer (Contract), Native Ads — Sep 2016 to May 2017 (duplicate for structured labeling aspects)

Document

Built and optimized data workflow components that supported extraction and structuring of marketing-related signals from multiple advertising sources. The outputs were used to train and evaluate machine learning models for forecasting and recommendation. This involved preparing structured representations of campaign and event data for downstream AI model use. • Integrated data from ad networks to produce campaign insights and optimization features • Implemented forecasting-quality model features for pricing optimization • Supported ML recommendation generation for marketers • Designed pipeline components for consistent training-ready data formatting

2016 - 2017

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Education

Work History