๐ญ Iโm looking to collaborate on Projects that combine machine learning with real-world impact โ especially around security, compliance, or customer experience.
๐ซฑ Iโm looking for help with Streamlining Docker workflows and learning CI/CD best practices for ML projects.
๐ฑ Iโm currently learning MLOps tools like MLflow and Docker โ and how to structure ML projects for clean deployment and real-world use.
๐ฌ Ask me about Building fraud detection systems with NLP, BERT-based classifiers, or organizing ML repos for clarity and scalability
โก Fun fact: My fraud detection model once flagged refund abuse at a local supermarket โ and helped change how refunds were reviewed!
- Toronto, Ontario
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06:38
(UTC -12:00) - in/fitsumblb
- https://neon-project-orbit.lovable.app/
Highlights
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wine-ml-pipeline
wine-ml-pipeline PublicA production-ready ML pipeline for predicting wine quality. Itโs fully config-driven, tested, and reproducible end-to-end: ingestion โ validation โ transformation โ training โ evaluation โ diagnostโฆ
Jupyter Notebook 1
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Sentiment-Analyzer
Sentiment-Analyzer Public๐ Advanced Multi-Model Sentiment Analyzer - From research to production-ready AI system. Fine-tuned DistilBERT on Yelp dataset (78.5% accuracy), evolved into enterprise-grade platform with 4 AI modโฆ
Jupyter Notebook 1
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PhishGuardAI
PhishGuardAI PublicModern, explainable phishing URL detection with FastAPI, policy bands, and LLM-based review. Fast, auditable, and easy to run locally or in Docker.
Jupyter Notebook
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PremierLeagueMatchPredictor
PremierLeagueMatchPredictor Publicโฝ This project presents a robust machine learning pipeline for predicting English Premier League (EPL) match outcomes using historical data spanning the 2007 to 2024 seasons.
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PowerCo-Custumer-Churn
PowerCo-Custumer-Churn PublicA data-driven predictive model to identify SME customers at risk of churning, enabling targeted retention strategies for PowerCo.
Jupyter Notebook
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SmartMobility-POI-Insights
SmartMobility-POI-Insights PublicThis project aims to analyze the relationship between bike station availability and Points of Interest (POIs) in a specific city. By integrating data from the CityBikes API, Yelp API and FourSquareโฆ
Jupyter Notebook 1
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