🚀 Machine Learning Engineer | AI Engineer
💡 Passionate about building intelligent systems, multimodal AI, and real-world ML applications.
📍 Always experimenting with AI, data pipelines, and production-ready ML.
- Languages: Python, SQL, JavaScript
- ML & AI: TensorFlow, PyTorch, OpenCV, Hugging Face
- Data Engineering: PostgreSQL, Docker, Airflow, Vector Databases
- Cloud & DevOps: AWS (S3, Lambda, EC2), Supabase, Kubernetes, Terraform
- Other Tools: FastAPI, Flask, Git, Jupyter, Ableton (for music!)
- 🎥 Real-time AI Surveillance System – ML-powered abuse detection from CCTV footage. High recall, AI audit trail.
- 🏆 Dota 2 Data Engineering – Scalable data pipeline for analyzing Dota 2 matches using vector DBs.
- 📊 Ad Concept Testing – Data-driven ad performance analysis using Jupyter & PostgreSQL.
When I'm not coding, I'm making beats in Ableton! 🎶