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Samuel A.

Samuel A.

Machine Learning Engineer Intern — TechnoloCoLabs Softwares (Remote) (Jan 2025 – Mar 2025)

Nigeria flagIkeja, Lagos, Nigeria

Key Skills

Software

AWS SageMakerAWS SageMaker
AppenAppen
CrowdSourceCrowdSource

Top Subject Matter

Logistics optimization (last-mile delivery ETA prediction)
Industrial predictive maintenance (milling machine failure prediction)

Top Data Types

TextText
ImageImage
Geospatial Tiled ImageryGeospatial Tiled Imagery

Top Task Types

RoutingRouting
ClassificationClassification
Bounding BoxBounding Box
Entity (NER) ClassificationEntity (NER) Classification
PolygonPolygon
Text GenerationText Generation
Data CollectionData Collection

Freelancer Overview

Machine Learning Engineer Intern — TechnoloCoLabs Softwares (Remote) (Jan 2025 – Mar 2025). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Docker, FastAPI, and Prometheus. Education includes Master of Science, American University of Nigeria (2026) and Bachelor of Science, Kwame Nkrumah University of Science and Technology (KNUST) (2021). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Routing and Classification.

Labeling Experience

Machine Learning Engineer Intern — TechnoloCoLabs Softwares (Remote) (Jan 2025 – Mar 2025)

RoutingRouting

Designed and executed an end-to-end machine learning pipeline for last-mile delivery ETA prediction, supporting subsequent model training and evaluation. The work included feature engineering from pickup and delivery datasets and building a deployable prediction service. While the role was not explicitly “data labeling,” it involved data preparation steps typical of AI training workflows. • Processed pickup and delivery datasets across five Chinese regions for arrival-time forecasting. • Engineered features such as Haversine distance, log transforms, and PCA-based dimensionality reduction. • Trained and tuned multiple regression models (Linear Regression, Lasso, XGBoost) with cross-validation. • Containerized a FastAPI service and integrated monitoring using Prometheus.

2025 - 2025

Data Scientist Trainee — GoMyCode Nigeria (Onsite) (Nov 2023 – Apr 2024)

ClassificationClassification

Built and validated an AI predictive maintenance model for milling machines, translating raw sensor signals into features for supervised learning. The project required preparing input variables and training a failure prediction classifier to reduce unplanned downtime. This constitutes an AI training workflow focused on model development rather than manual annotation. • Engineered sensor-based features and trained a Random Forest failure prediction model. • Achieved >90% accuracy and supported business outcomes by reducing unplanned downtime. • Produced SQL-driven reports and Tableau dashboards for stakeholder KPIs. • Conducted EDA and delivered actionable insights in agile team settings.

2023 - 2024

Education

A

American University of Nigeria

Master of Science, Data Science & Analytics

Master of Science
2024 - 2026
K

Kwame Nkrumah University of Science and Technology (KNUST)

Bachelor of Science, Petrochemical Engineering

Bachelor of Science
2018 - 2021

Work History

T

TechnoloCoLabs Softwares

Machine Learning Engineer Intern

N/A
2025 - 2025
G

GoMyCode

Data Scientist Trainee

N/A
2023 - 2024