I’m a Final-Year IT student focused on the engineering side of AI and Machine Learning — building scalable, reproducible, and production-ready ML systems. My interests span MLOps, LLMOps, model serving, observability, and Generative AI infrastructure.
- 🚀 Currently: Building automated MLOps and LLMOps pipelines while exploring modern Generative AI systems and inference workflows.
- 🛠️ Philosophy: Great models are only part of the equation. Reliable AI systems require robust infrastructure, CI/CD, observability, monitoring, and reproducible workflows.
- 🔭 Goal: To bridge the gap between AI research and real-world deployment by building efficient, scalable, and maintainable AI systems.
