Argvins M.

Key Skills

Software

Other

Top Subject Matter

AI training (supervised learning, NLP, deep learning)

Machine learning pipeline development and computer vision model optimization

Predictive ML model development and deployment

Top Data Types

Text

Image

Top Task Types

Data Collection

Classification

Freelancer Overview

AI Trainer | Power Learn Project (PLP), Kenya. Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Master of Science, University of Nairobi (2021) and Bachelor of Science, Moi University (2017). AI-training focus includes data types such as Text, Medical, and DICOM and labeling workflows including Data Collection and Classification.

Labeling Experience

Data Scientist | Safaricom PLC, Nairobi

OtherTextClassification

As a Data Scientist, you designed predictive churn models and automated real-time analytics pipelines to improve customer retention and reduce reporting latency. While the role does not explicitly mention human labeling, churn modeling and production ML deployment typically rely on curated, labeled training data and feature-ready datasets. You collaborated with product teams to deploy machine learning solutions into production environments. • Designed churn prediction models improving retention by 18% • Automated data pipelines for real-time analytics • Reduced reporting time by 40% • Collaborated with product teams to deploy ML to production

2022 - Present

AI Trainer | Power Learn Project (PLP), Kenya

OtherTextData Collection

As an AI Trainer, you delivered hands-on AI and machine learning training to students and professionals, including supervised learning, NLP, and deep learning projects. While no explicit labeling platform or annotation schema is stated, the training work implies preparing datasets and guiding participants through model-ready inputs and targets. You also mentored junior engineers on AI model development best practices. • Delivered AI/ML training sessions to 200+ participants • Designed practical coursework and projects for supervised learning and NLP • Guided participants through deep learning implementation • Mentored junior engineers on AI model development best practices

2020 - 2021

Machine Learning Engineer - Andela

ImageClassification

As a Machine Learning Engineer, you built scalable ML pipelines to support fraud detection use cases in fintech applications. You optimized convolutional neural network models for medical image classification to improve accuracy and reduce errors. You also implemented MLOps workflows for continuous deployment and monitoring of machine learning models in production. • Built ML pipelines for fraud detection in fintech • Optimized CNN models for medical image classification • Implemented MLOps for continuous deployment and monitoring • Ensured model performance, reliability, and production readiness

2018 - 2020

Machine Learning Engineer | Andela, Remote

OtherClassification

As a Machine Learning Engineer, you built and optimized ML pipelines that supported fraud detection and computer-vision model performance. Although the resume emphasizes pipeline engineering and deployment (not explicit annotation), computer-vision training generally requires labeled image datasets and quality checks. You implemented MLOps workflows for continuous deployment and monitoring to support trained models in production. • Built scalable ML pipelines for fraud detection in fintech • Optimized CNN models for medical image classification • Implemented MLOps workflows for continuous deployment and monitoring • Supported production readiness of trained ML models

2018 - 2020

Education

Work History