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O

Olorunleke Akindote-White

Machine Learning Engineer

Nigeria flagLagos, Nigeria
$20.00/hrExpertAws SagemakerGoogle Cloud Vertex AI

Key Skills

Software

AWS SageMakerAWS SageMaker
Google Cloud Vertex AIGoogle Cloud Vertex AI

Top Subject Matter

Finance - Risk Analysis & Fraud Detection
E-commerce - Product Categorization & Customer Support
Health Care - Patient & Diagnostics information

Top Data Types

TextText
DocumentDocument
AudioAudio

Top Task Types

SegmentationSegmentation
Entity (NER) ClassificationEntity (NER) Classification
Question AnsweringQuestion Answering
Text SummarizationText Summarization
Text GenerationText Generation
TranscriptionTranscription
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Function CallingFunction Calling

Freelancer Overview

Machine Learning Engineer with experience building and deploying real-world ML systems. Strong background across the full ML lifecycle, including data preparation, model training, evaluation, and production deployment. Skilled in Python, APIs, and scalable ML workflows, with hands-on experience in credit risk and recommendation systems. Also experienced in AI training and data labeling workflows, including segmentation tasks.

ExpertEnglish

Labeling Experience

Machine Learning Engineer

Segmentation
At Terragon Group, I was responsible for architecting, deploying, and operating applied machine learning systems for customer intelligence and personalization. My work involved the full ML pipeline, from ingestion to production, impacting millions of customer records. These solutions enhanced marketing and financial services outcomes for clients through improved segmentation and recommendations. • Built end-to-end ML pipelines including feature engineering and deployment • Delivered production models supporting engagement and ROI improvement • Leveraged large-scale datasets for risk assessment and personalization • Designed credit recommendation systems for marketing and finance sectors

At Terragon Group, I was responsible for architecting, deploying, and operating applied machine learning systems for customer intelligence and personalization. My work involved the full ML pipeline, from ingestion to production, impacting millions of customer records. These solutions enhanced marketing and financial services outcomes for clients through improved segmentation and recommendations. • Built end-to-end ML pipelines including feature engineering and deployment • Delivered production models supporting engagement and ROI improvement • Leveraged large-scale datasets for risk assessment and personalization • Designed credit recommendation systems for marketing and finance sectors

2022 - 2023

Education

W

WorldQuant University

Nanodegree, Applied Data Science

Nanodegree
2023 - 2023
A

ALX Africa

Nanodegree, Data Analysis

Nanodegree
2022 - 2022

Work History

P

Pastel

Lead Data Scientist

San Francisco
2026 - Present
P

Pastel

Senior Data Scientist

San Francisco
2025 - 2026