vayu nandan

I am a recent Bachelor of Technology graduate in Computer Science with a strong foundation in Python and end-to-end machine learning pipelines. I focus on deploying production-ready AI solutions using modern MLOps practices such as Docker, DVC, MLflow, and cloud infrastructure.

I have built a high-performance sentiment analysis pipeline using BERT, implementing data versioning, experiment tracking, model quantization, containerization, and a FastAPI REST backend for serving models. I also developed real-time computer-vision applications including an AI fitness trainer leveraging MediaPipe and optimized low-latency video processing.

My practical experience spans NLP, computer vision, LLMs, and model deployment on AWS, and I am comfortable with libraries and tools such as TensorFlow, Keras, Scikit-Learn, NumPy, OpenCV, MLflow, DVC, Docker, and FastAPI. I participate actively in the tech community via conferences and hackathons to stay current with emerging tools and best practices.

I am seeking opportunities where I can contribute hands-on ML engineering, productionizing models and improving system reliability, while continuing to grow my skills in scalable AI systems and cloud-native deployments.