Charles Akinnurun

Charles Akinnurun

Machine Learning Engineer - AWS AI/ML Scholar '26

Machine Learning Engineer

Passionate about building intelligent systems that solve real-world problems. Specialize in transforming ideas into beautifully crafted products.

Skills

Machine Learning
Artificial Intelligence
Data Science
Deep Learning
LLMs
Agentic AI
MLOps
Generative AI
Natural Language Processing
Computer Vison
RAG
Neural Networks
Fine-Tuning
Prompt Engineering
Loop Engineering
Context Engineering
Harness Engineering
AWS
LLMOps
AIOps
ML Pipelines
Vector Databases
Embeddings
Model Deployment

GitHub Stats

GitHub Contribution Graph
Download CV

Experience

Amazon Web Services logo

Amazon Web Services

AI/ML Engineering Scholar - Future AWS AI Programmer

July 2026 - Present

Amazon Web Services logo

Amazon Web Services

AI/ML Engineering Scholar - AWS AI Practitioner Challenge

March 2026 - August 2026

FlyRank AI logo

FlyRank AI

Machine Learning Engineering Intern

June 2026 - Present

Rilo Commit logo

Rilo Commit

Founding Growth Fellow

June 2026 - Present

Dev Weekends logo

Dev Weekends

AI Engineering Fellow

April 2026 - Present

Education

Lagos State University of Education logo

Lagos State University of Education

Bachelor's degree, Computer Science

Udacity logo

Udacity

Nanodegree, Future AWS AI Programmer

Udacity logo

Udacity

Nanodegree, AWS AI Practitioner Challenge

Featured Projects

Build your first AI productivity app

Completed the AWS AI & ML Scholars project to design and ship a first AI productivity application using generative AI tools.

AWSGenerative AIUdacityAI Productivity

Analyze Data using AI with PartyRock

Completed the AWS AI & ML Scholars project on analyzing data with AI in Amazon PartyRock, turning prompts and datasets into an interactive app.

AWSPartyRockData AnalysisGenerative AI

Analyze Data using AI with PartyRock

Completed the AWS AI & ML Scholars project on analyzing data with AI in Amazon PartyRock, turning prompts and datasets into an interactive app.

AWSPartyRockData AnalysisGenerative AI

Open Source Contributions

Actively building in the open — sharing projects, shipping features, and contributing to the data science and machine learning community.

British Airways logo

british-airways-data-science

British Airways · Code · PR #4 · Jan 2024

Merged

Open-sourced an end-to-end machine learning pipeline that predicts customer booking behaviour with 85% accuracy, plus a premium lounge demand forecasting framework.

Pythonscikit-learnPandasNumPy
Citi logo

citi-mqa

Citi · Feature · PR #11 · Mar 2024

Merged

Contributed a multi-model quantitative pricing framework for coffee futures options, combining Cost of Carry, Black-Scholes, and Monte Carlo simulation.

Quantitative FinanceBlack-ScholesMonte Carlo
Lloyds Banking Group logo

lloyds-bank-data-science-and-analytics

Lloyds Banking Group · Bug Fix · PR #7 · Jun 2024

Merged

Improved ensemble model optimisation and added SHAP-based interpretability to surface the key drivers of customer churn.

Pythonscikit-learnSHAPPandas

Licenses & Certifications

Anthropic logo

Claude 101

Anthropic · March 2026

Validated foundational knowledge of Claude, generative AI, prompt engineering, and responsible AI practices for building effective AI-powered applications.

Credential ID: 4tuvfrerrr9n

Anthropic logo

Claude Code in Action

Anthropic · March 2026

Hands-on experience using Claude Code for AI-assisted software development, including coding, debugging, refactoring, and working with AI-powered development workflows.

Credential ID: ek3onc5zrcuy

Amazon Web Services logo

AWS Foundations: Prompt Engineering

Amazon Web Services · March 2026

Developed foundational skills in prompt engineering, including designing effective prompts and applying generative AI techniques to improve model outputs.

Community

Learning in public is one way to grow. The other is proving it — shipping work, earning certifications, and sharing proof so the next person in the room can follow the same path.

6 verified proofs4 certificationsAWS · Anthropic · Google

AWS AI/ML Practictioner ChallengeAWS X Udacity

2026

Graduated from the Udacity program with a focus on AI and Machine Learning, completing all projects and milestones.

CertificationAWS X Udacity

AWS AI & ML ScholarshipAWS X Udacity

2026

Awarded the AWS AI & ML Scholarship for demonstrating potential in artificial intelligence and machine learning.

ScholarshipAWS X Udacity

AWS Foundations: Prompt EngineeringAmazon Web Services

2026

Completed the AWS Foundations course on prompt engineering, designing effective prompts and applying generative AI techniques.

CertificationAmazon Web Services

Claude 101Anthropic

2026

Validated foundational knowledge of Claude, generative AI, prompt engineering, and responsible AI practices.

CertificationAnthropic

MLOps for Generative AIGoogle

2026

Completed Google's MLOps for Generative AI course covering model deployment, monitoring, and lifecycle management.

CertificationGoogle

Build Your First AI Productivity AppAWS AI & ML Scholars · Udacity

2026

Designed and shipped a first AI productivity application using generative AI tools as part of the AWS AI & ML Scholars program.

ProjectAWS AI & ML Scholars · Udacity

Research

Research papers, technical investigations, and experimental studies across machine learning, natural language processing, and AI systems.

Transformer-Based NLP Model for Movie Review Sentiment Analysis

Experimental Study · Charles Akinnurun · July 2026

In Progress

Developed and evaluated a Transformer-based NLP model for movie review sentiment classification. The study applies tokenization, attention mechanisms, and model fine-tuning to classify reviews as positive or negative, benchmarking a full encoder-only Transformer pipeline against statistical baselines.

Natural Language ProcessingMachine LearningDeep LearningTransformers

AWS AI & ML Scholars · AWS Future AI Programmer · Technical Report

Machine Learning for Credit Risk Prediction: A Comparative Study

Technical Research · Charles Akinnurun · June 2024

Preprint

Engineered a credit scoring model to predict loan default risk from financial and repayment history. The research compares classical classifiers and ensemble methods, using feature engineering and threshold optimization to support risk assessment protocols.

Machine LearningFinancial AIData Science

CodeAlpha · Technical Report

Deep Learning for Handwritten Character Recognition Using CNNs

Experimental Study · Charles Akinnurun · October 2024

Preprint

Architected a Convolutional Neural Network for recognizing handwritten digits and characters from images. The work covers image preprocessing, data augmentation, and CNN architecture design, with an extension path to full word recognition using sequence models such as CRNNs.

Computer VisionDeep LearningMachine Learning

CodeAlpha · Technical Report

Industry Conversations

Conversations with engineers, founders, researchers, and AI/ML professionals across the tech industry.

10+ Industry Conversations

Engineers • Founders • Researchers • AI/ML Professionals

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