Oluwafemi Adejumobi

Key Skills

Software

AWS SageMaker

Axiom AI

Dataloop

Roboflow

CVAT

Other

Top Subject Matter

Agriculture Domain Expertise

Healthcare Data & Medical Documentation

Education Domain Expertise

Top Data Types

Text

Image

Video

Top Task Types

Data Collection

Bounding Box

Polygon

Segmentation

Classification

Entity (NER) Classification

Object Detection

Red Teaming

Fine-tuning

Function Calling

Computer Programming/Coding

Text Generation

Question Answering

Text Summarization

Freelancer Overview

Founder (Data Curation & Annotation Lead) at DeepFly Tech Labs. Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Roboflow, CVAT, and Other. Education includes Master of Science, Skolkovo Institute of Science and Technology (2024) and Bachelor of Science, Federal University of Agriculture, Abeokuta (2018). AI-training focus includes data types such as Image and labeling workflows including Data Collection and Classification.

Labeling Experience

Founder – Agricultural Data Collection System and AI Data Curation Lead

RoboflowImageData Collection

Led a division focused on data curation and labeling for agriculture, healthcare, and education AI applications. Coordinated government grant work to collect, organize, and annotate crop, livestock, and agro-allied data, including geospatial mapping of farmlands. Managed training initiatives to upskill youths in production machine learning and data engineering with real-world data annotation projects. • Oversaw geospatial data acquisition and annotation for farm mapping. • Supervised a team annotating multimodal datasets for AI automation. • Evaluated and selected industry software (e.g., Roboflow, CVAT, dataloop, axiom) for annotation pipelines. • Developed best practices for accurate and efficient data curation processes.

Led a division focused on data curation and labeling for agriculture, healthcare, and education AI applications. Coordinated government grant work to collect, organize, and annotate crop, livestock, and agro-allied data, including geospatial mapping of farmlands. Managed training initiatives to upskill youths in production machine learning and data engineering with real-world data annotation projects. • Oversaw geospatial data acquisition and annotation for farm mapping. • Supervised a team annotating multimodal datasets for AI automation. • Evaluated and selected industry software (e.g., Roboflow, CVAT, dataloop, axiom) for annotation pipelines. • Developed best practices for accurate and efficient data curation processes.

2025 - Present

Project Lead, OCR Processor Annotation

OtherImageClassification

Coordinated labeling and ground truth creation for an OCR system processing PDF, PNG, and JPG files. Led batch processing and quality review of labeled data for model training and evaluation, leveraging multi-engine OCR frameworks and manual annotation for benchmarking. Ensured high-fidelity labeled output datasets for document processing and export functionalities. • Supervised labeling pipeline using EasyOCR, Tesseract, and manual annotation. • Maintained quality criteria for document image annotation workflows. • Conducted batch reviews and consensus labeling for OCR ground truth. • Developed guidelines for labeled dataset release and reproducibility.

Coordinated labeling and ground truth creation for an OCR system processing PDF, PNG, and JPG files. Led batch processing and quality review of labeled data for model training and evaluation, leveraging multi-engine OCR frameworks and manual annotation for benchmarking. Ensured high-fidelity labeled output datasets for document processing and export functionalities. • Supervised labeling pipeline using EasyOCR, Tesseract, and manual annotation. • Maintained quality criteria for document image annotation workflows. • Conducted batch reviews and consensus labeling for OCR ground truth. • Developed guidelines for labeled dataset release and reproducibility.

2025 - 2025

Research ML Engineer – Satellite Imagery Data Curation and Labeling

CVATImageData CollectionClassification

As Research ML Engineer at Skoltech Project Center for Agro Technologies, I worked on developing a multimodal deep learning system utilizing satellite imagery and related datasets. I orchestrated the collection, preprocessing, and integration of geo-referenced satellite data, including labeling and quality checking of farm boundaries and environmental features. Responsibilities included ensuring data integrity and preparing data for ML pipeline ingestion. • Curated and labeled satellite imagery data of farmlands for yield forecasting. • Annotated geographical features and ensured geospatial accuracy. • Managed data versioning and provenance using DVC and internal tools. • Conducted periodic reviews and audits for labeling accuracy.

As Research ML Engineer at Skoltech Project Center for Agro Technologies, I worked on developing a multimodal deep learning system utilizing satellite imagery and related datasets. I orchestrated the collection, preprocessing, and integration of geo-referenced satellite data, including labeling and quality checking of farm boundaries and environmental features. Responsibilities included ensuring data integrity and preparing data for ML pipeline ingestion. • Curated and labeled satellite imagery data of farmlands for yield forecasting. • Annotated geographical features and ensured geospatial accuracy. • Managed data versioning and provenance using DVC and internal tools. • Conducted periodic reviews and audits for labeling accuracy.

2024 - 2025

Education

Work History