I’m a Systems Architect & Machine Learning Engineer who builds scalable, secure, and production-ready systems. Unlike most so-called "AI experts," I don’t just train models—I ensure they actually work in production without crumbling like a junior dev’s first API. And unlike most system architects, I prioritize performance, security, and maintainability over bloated enterprise nonsense.

🔹 Languages: Python, Go, Rust (because efficiency and security matter)
🔹 ML Frameworks: PyTorch, TensorFlow, Scikit-Learn
🔹 Data Engineering: Apache Airflow, Spark, Snowflake
🔹 MLOps: MLflow, Kubeflow, FastAPI, Docker, Kubernetes
🔹 Infrastructure: Terraform, AWS, GCP, Azure (because vendor lock-in is for amateurs)
🔹 Security & DevOps: Zero Trust, OAuth2, Argon2, SELinux, Ansible
🔹 Monitoring: Prometheus, Grafana, Loki (because ignorance isn’t bliss)

• ML Infrastructure → Scalable, reliable, and doesn’t crash at 3 AM.
• Model Deployment → ML that actually runs outside a Jupyter notebook.
• MLOps Automation → Because doing things manually is for cavemen.
• Deep Learning & Optimization → Not for hype, but for real-world impact.
• Backend Architecture → APIs and microservices that don’t suck.
• Cloud Security → Because leaving your S3 bucket public is a rookie mistake.
• Zero Trust Security → Assume everything is compromised and design accordingly.

🔹 Zero Trust Everything – Assume every request is hostile. Verify constantly.
🔹 Least Privilege Access – If your service has unnecessary permissions, you’ve already failed.
🔹 End-to-End Encryption – If it's not encrypted, it’s compromised.
🔹 Idempotency & Fault Tolerance – Build APIs and systems that don’t fail like a house of cards.
🔹 Observability > Guesswork – Metrics, logging, and monitoring should be baked in from day one.
🔹 Automate or Regret It Later – DevSecOps isn’t optional. It’s survival.

❌ Overengineered garbage that exists just to flex tech stacks.
❌ AI "projects" that are just pre-trained models repackaged.
❌ Security advice that doesn’t assume worst-case scenarios.
❌ Useless cloud diagrams that look fancy but mean nothing.

If you need help with system architecture, ML engineering, or security, message me. If you’re here to talk about NFTs, "prompt engineering," or why JavaScript is the future of AI, don’t.

Let's build something worth securing.