M Nikhil

I am an aspiring AI Engineer focused on building production-ready machine learning systems and deploying them securely at scale. I combine hands-on model development with practical MLOps practices to deliver reliable, real-time inference services.

My projects span end-to-end workflows: from data preprocessing and model training to CI/CD pipelines, containerized deployment, and REST API model serving using FastAPI and Docker. I have implemented predictive models, collaborative filtering engines, and prompt-driven features using modern LLM frameworks.

I emphasize model governance, monitoring, and secure serving—implementing authentication, automated preprocessing, and optimized database queries for fast inference. I leverage cloud and developer platforms to create reproducible, version-controlled deployments.

I hold practical certifications in Azure fundamentals and generative AI, and I thrive in collaborative, agile environments where I can contribute to building intelligent systems that deliver measurable business impact.