🧪 I’m currently working on
Building AI and machine learning projects — from UFC fight outcome prediction models to intelligent hospital scheduling systems using ensemble learning, deep neural networks, and genetic algorithms.
🤝 I’m looking to collaborate on
Open-source ML frameworks, AI-powered web apps, and real-world data-driven projects involving predictive analytics or computer vision.
🧭 I’m looking for help with
Optimizing ML pipelines for deployment (Flask + FastAPI + Streamlit), integrating AI models into dashboards (Power BI / Tableau), and improving MLOps workflows.
🌱 I’m currently learning
Advanced ensemble methods, reinforcement learning, and production-level AI deployment with Docker, REST APIs, and cloud (AWS/GCP).
💬 Ask me about
Machine learning model design, data preprocessing, ensemble stacking, deep learning for real-world predictions, or turning academic projects into portfolio-ready case studies.
⚡ Fun fact
I started learning AI by building a UFC fight predictor — now I’m building full AI systems that can schedule patients, detect phishing texts, and even generate storyboards using NLP + diffusion models.